{"id":142,"date":"2025-03-07T15:32:25","date_gmt":"2025-03-07T18:32:25","guid":{"rendered":"https:\/\/idric.ic.unicamp.br\/?page_id=142"},"modified":"2026-04-06T17:53:35","modified_gmt":"2026-04-06T20:53:35","slug":"conferencias","status":"publish","type":"page","link":"https:\/\/idric.ic.unicamp.br\/index.php\/conferencias\/","title":{"rendered":"Confer\u00eancias"},"content":{"rendered":"\n<p><\/p>\n\n\n\n<h2 class=\"wp-block-heading\">2025<\/h2>\n\n\n\n<h4 class=\"wp-block-heading\">Internacionais<\/h4>\n\n\n\n<ol class=\"wp-block-list\">\n<li>HUANCACHOQUE, L.; ASTUDILLO, C. A.; MORIHIRO, E.; ANDRADE, T. C. P.; GAMA, E.; BOTH, C. B.; WICKBOLDT, J. A.; da Fonseca, Nelson L. S.. Experimental Performance Evaluation of IEEE 802.15.4-Based IoT Networks Integrated with Radioover-Fiber. Symposium of Internet of Things, 2025.<\/li>\n\n\n\n<li>CARDENAS, G. M.; Tiago P. C. Andrade; ASTUDILLO, C. A.; da Fonseca, Nelson L. S.. Collision-Aware Random Access Procedure for 5G\/6G Mobile Networks in mIoT Scenarios. 13th Wireless Days Conference, 2025.<\/li>\n\n\n\n<li>ANDRADE, T. C. P.; OTA, M. J.; da Fonseca, N.L.S.; MIYAZAWA, F. K.. Optimizing Downlink Control Resources Allocation for Internet-of-Things in Future Cellular Networks. 13th Wireless Days Conference, 2025.<\/li>\n\n\n\n<li>COSTA, A. S.; LUCENA, E.; GUEVARA, JUDY C.; GUIDONI, DANIEL L.; RAMOS FILHO, H. S.; da Fonseca, Nelson L. S.; UCHIDA, M. C.; VILLAS, L. A. \u2026 Detecting Concentric Muscle Failure in Bench Press: A Bag of Patterns Approach using Wearable Data. 21st International Conference on Distributed Computing in Smart Systems and the Internet of Things, 2025.<\/li>\n\n\n\n<li>CAPANEMA, CL\u00c1UDIO G. S.; SILVA, FABR\u00cdCIO A. ; Villas, Leandro A. ; Loureiro, Antonio A. F., Data Shift Under Delayed Labeling in Multi-Model Federated Learning. 21st International Conference on Distributed Computing in Smart Systems and the Internet of Things, 2025.<\/li>\n\n\n\n<li>DE MATTOS, EKLER PAULINO; DOMINGUES, AUGUSTO C. S. A.; SILVA, FABR\u00cdCIO A.; FILHO, HEITOR S. R.; Loureiro, Antonio A. F., A Dynamic Privacy Tuning Mechanism in Mix-Zones. 21st International Conference on Distributed Computing in Smart Systems and the Internet of Things, 2025.<\/li>\n\n\n\n<li>TALASSO, GABRIEL U.; DE SOUZA, ALLAN M. ; GONZALEZ, LUIS F. G.; CERQUEIRA, EDUARDO ; Loureiro, Antonio A. F.; Villas, Leandro A., Leveraging Federated Learning for Multilingual and Private Language Models via Model Clustering. 3rd International Conference on Federated Learning Technologies and Applications, 2025.<\/li>\n\n\n\n<li>MOURA, DOUGLAS L. L.; AQUINO, ANDRE L. L.; Loureiro, Antonio A. F., Federated Authentication for DLT in Intelligent Transportation Systems Based on Certificateless Cryptography. International Conference on Modeling, Analysis and Simulation of Wireless and Mobile Systems, 2025.<\/li>\n\n\n\n<li>VEIGA, RAFAEL ; MORAIS, RENAN ; BASTOS, LUCAS ; ROS\u00c1RIO, DENIS ; LOUREIRO, ANTONIO ; CERQUEIRA, EDUARDO, A Resilient and Lightweight Layer Client Selection in Federated Learning. 21st International Conference on Distributed Computing in Smart Systems and the Internet of Things, 2025.<\/li>\n\n\n\n<li>MOURA, DOUGLAS L. L. ; AQUINO, ANDRE L. L. ; Loureiro, Antonio A. F. . On the Design of Mobility-Aware Systems: A Tourist&#8217;s Perspective. International Conference on Modeling, Analysis and Simulation of Wireless and Mobile Systems, 2025.<\/li>\n\n\n\n<li>CAPANEMA, CL\u00c1UDIO G. S. ; SILVA, FABR\u00cdCIO A. ; Villas, Leandro A. ; Loureiro, Antonio A. F., Non-IID-Aware Multi-Model Federated Learning. International Conference on Modeling, Analysis and Simulation of Wireless and Mobile Systems, 2025.<\/li>\n\n\n\n<li>RABELO OLIVEIRA, RICARDO AUGUSTO ; Loureiro, Antonio A. F. . On the Selection of an Efficient Wavelet Basis for Constructing Online Context Awareness. International Conference on Modeling, Analysis and Simulation of Wireless and Mobile Systems, 2025.<\/li>\n\n\n\n<li>VEIGA, RAFAEL; MORAIS, RENAN; BASTOS, LUCAS; ROS\u00c1RIO, DENIS; GUIDONI, DANIEL L.; Cerqueira, Eduardo. Bio-Signal Multistream Architecture Classification for Federated Learning. 21st International Conference on Distributed Computing in Smart Systems and the Internet of Things, 2025.<\/li>\n\n\n\n<li>BASTOS, JOHANN; BATISTA, JO\u00c3O; FONTES, RAMON; Cerqueira, Eduardo; VILLA\u00c7A, RODOLFO; MOTA, VIN\u00cdCIUS F. S.. A Lightweight Emulation Framework for Energy-Aware Federated Learning. ACM SIGCOMM Conference, 2025.<\/li>\n\n\n\n<li>PACHECO, LUCAS; BRAUN, TORSTEN; CHOWDHURY, KAUSHIK; Ros\u00e1rio, Denis; SALEHI, BATOOL; Cerqueira, Eduardo. Dynamic Adaptive Federated Learning for mmWave Sector Selection. IEEE 101st Vehicular Technology Conference, 2025.<\/li>\n\n\n\n<li>SOUZA, TIAGO; NETO, AUGUSTO V.; ROS\u00c1RIO, DENIS L.; FONTES, RAMON R.; CERQUEIRA, E.. P4LoWPAN: Transforming IoT Networks with a Programmable Data plane and In-band Telemetry. International Wireless Communications and Mobile Computing, 2025.<\/li>\n\n\n\n<li>BASTOS, L.; VEIGA, R.; MORAIS, R.; NETO, A.; Ros\u00e1rio, D.; CERQUEIRA, E.. Federated Learning for User Identification Method from Biosignals in Wearable Devices. International Wireless Communications and Mobile Computing, 2025.<\/li>\n\n\n\n<li>AVENA, VINICIUS; Couto, Rodrigo S.; Campista, Miguel Elias M.; Costa, Lu\u00eds Henrique M. K.. Mirror, Mirror on the Road, Is There a VRU too Close?. IEEE 102nd Vehicular Technology Conference, 2025.<\/li>\n\n\n\n<li>SANTOS, LUAN L.; THOMAZ, GUILHERME A.; SOUZA, LUCAS A. C.; LANZA, MARCELO L. D.; DIAS, ROBSON F. S.; Costa, Lu\u00eds Henrique M. K.; Campista, Miguel Elias M.. Lithium-Ion Battery Aging Estimation with Federated Deep Learning. 2025 Workshop on Communication Networks and Power Systems, 2025.<\/li>\n\n\n\n<li>FITTIPALDI, GIULIANO PRESTES; FLADENMULLER, ANNE; DE SOUZA COUTO, RODRIGO; KOSMALSKI COSTA, LU\u00cdS HENRIQUE MACIEL; DE AMORIM, MARCELO DIAS. On the Representativeness of Wi-Fi Data Collection. IEEE 36th International Symposium on Personal, Indoor and Mobile Radio Communications, 2025.<\/li>\n\n\n\n<li>AVENA, VINICIUS; Couto, Rodrigo S.; Costa, Lu\u00eds Henrique M. K.; DA SILVA, EDUARDO A. B.. Bridging Domain Shifts Through Self-Contrastive Learning And Distribution Alignment. 2025 IEEE International Conference on Image Processing, 2025.<\/li>\n\n\n\n<li>EINSFELDT, G. H. E.; SCHAEFFER-FILHO, A.. NetFeatureXtract: Efficient Traffic Feature Extraction using eBPF. 39th International Conference on Advanced Information Networking and Applications, 2025.<\/li>\n\n\n\n<li>EINSFELDT, G. H. E.; SCHAEFFER-FILHO, A. E.. XFAST: Efficient Feature Selection for High-Performance Network Traffic Analysis using eBPF\/XDP and Genetic Algorithms. 21st International Conference on Network and Service Management, 2025.<\/li>\n\n\n\n<li>PARIZOTTO, RICARDO; HAQUE, ISRAAT; Schaeffer-Filho, Alberto. Composing Fault Tolerant In-Network Computing Systems via High-Level Intents. 2025 IEEE Network Operations and Management Symposium, 2025.<\/li>\n\n\n\n<li>FARIA, Y. D. D.; APARECIDO VILLAS, LEANDRO; M. DE SOUZA, ALLAN. Exploring Communication Efficient Methods for Homomorphic Encryption Federated Learning. 30th IEEE Symposium on Computers and Communications, 2025.<\/li>\n\n\n\n<li>VEGA CENTENO OLIVERA, RONALDINHO; DE SOUZA, ALLAN; DOS REIS, JULIO. RFG Framework: Retrieval-Feedback-Grounded Multi-Query Expansion. 17th International Joint Conference on Knowledge Discovery, 2025.<\/li>\n\n\n\n<li>MOHAMED, AISSA H.; GUIDONI, DANIEL; GONZALEZ, L. F. G.; VILLAS, LEANDRO; DE SOUZA, ALLAN M.. FedEcoSelect: A Communication-Efficient Client Selection Strategy via Predictive Similarity Estimation in Federated Learning. 3rd IEEE International Conference on Federated Learning Technologies and Applications, 2025.<\/li>\n\n\n\n<li>BRAUN, C.; JARCZEWSKI, R. O.; TALASSO, GABRIEL U.; VILLAS, LEANDRO; DE SOUZA, ALLAN M.. Beyond Shortest Path: Agentic Vehicular Routing with Semantic Context. Urban AI Workshop &#8211; Conference on Neural Information Processing Systems, 2025.<\/li>\n\n\n\n<li>BUSTINCIO, R\u00d3MULO; MARQUEZ SOLIS, PEDRO YURI; DE SOUZA, ALLAN M.; BITTENCOURT, LUIZ F.. FL-as-API: A Service-Oriented Architecture for Heterogeneous Federated Learning. 18th IEEE\/ACM International Conference on Utility and Cloud Computing, 2025.<\/li>\n\n\n\n<li>DE OLIVEIRA JARCZEWSKI, RAFAEL; CERQUEIRA, EDUARDO; BITTENCOURT, LUIZ FERNANDO; A. F. LOUREIRO, ANTONIO; A. VILLAS, LEANDRO; DE SOUZA, ALLAN M.. Participation is Power: Effective Approach to Dynamic Federated Learning. 18th IEEE\/ACM International Conference on Utility and Cloud Computing, 2025.<\/li>\n\n\n\n<li>GUARAGNA, GUSTAVO S.; DA COSTA, JOAHANNES B. D.; DE SOUZA, ALLAN M.. Federated Learning with Iterative Synthetic Data Augmentation. 18th IEEE\/ACM International Conference on Utility and Cloud Computing, 2025.<\/li>\n\n\n\n<li>SOUZA, F.; ALVES, P.; MACIEL, FILIPE; SOUZA, ALLAN M.; VILLAS, LEANDRO; BITTENCOURT, LUIZ. Tackling the effect of local model updates heterogeneity on adaptive fit fraction. 3rd IEEE International Conference on Federated Learning Technologies and Applications, 2025.<\/li>\n\n\n\n<li>BASSO, MARCELO; WICKBOLDT, JULIANO; CORDEIRO, Weverton; ALVES, VIN\u00cdCIUS B.; RAMOS, LAURA B.; GUILLEMOT, JULIEN; RIKER, ANDR\u00c9; ABEL\u00c9M, Ant\u00f4nio; GASPARY, LUCIANO; ZHANI, MOHAMED FATEN; GALAN-JIMENEZ, JAIME. Bringing Programmable Low-End Networks to Life: A Field Study with an Off-the-Shelf Prototype. 2025 IEEE Network Operations and Management Symposium, 2025.<\/li>\n\n\n\n<li>ABREU, DIEGO; PIMENTEL, ARTHUR; ABEL\u00c9M, Ant\u00f4nio. Q-CAST Mobility: Multipath Routing Protocol for Mobile Quantum Networks. 2025 International Wireless Communications and Mobile Computing, 2025.<\/li>\n\n\n\n<li>DE OLIVEIRA, LUCAS B.; DA SILVA, MURILO C.; MARQUES, DANIEL DE A. L.; DE ARA\u00daJO, GUSTAVO H.; SCHWARZ, MARCOS F.; FARIAS, FERNANDO N. N.; BONDAN, LUCAS; GRANVILLE, LISANDRO Z.; ABEL\u00c9M, ANTONIO J. G.. Advancing Open RAN Deployment and Management on the OpenRAN@Brasil Testbed. 2025 IEEE Network Operations and Management Symposium, 2025.<\/li>\n\n\n\n<li>VILCHEZ, V\u00cdCTOR; HINOJOSA, EDWARD; GRANDE, ROBSON E. DE; Astudillo, Carlos A.. ANFIS-based Regression for vBS Computing Usage Prediction in Open Radio Access Networks. 2025 IEEE Symposium on Computers and Communications, 2025.<\/li>\n\n\n\n<li>BURBANO, ROBINSON NARVAEZ; MAURICIO CAICEDO, OSCAR; ASTUDILLO, CARLOS ALBERTO. xAITC: an approach for explaining and improving opaque-based depression classification. 2025 IEEE Colombian Conference on Communications and Computing, 2025.<\/li>\n\n\n\n<li>SILVA, MATTEUS V. S.; Astudillo, Carlos A.; BITTENCOURT, LUIZ F.. Federated Urban Flow: A Model-Centric Benchmark for Reproducible Evaluation of Deep Learning in Federated Traffic Forecasting. 2025 3rd International Conference on Federated Learning Technologies and Applications, 2025.<\/li>\n\n\n\n<li>BARBOSA, LUCAS; SANTO, YURI; OLIVEIRA, J\u00daLIO; Astudillo, Carlos A.; CORDEIRO, WEVERTON; RIKER, ANDR\u00c9; CARVALHO, GLAUCIO H. S.. Federated Learning of Decision Trees in Cooperative IoT Edge Computing. 2025 IEEE Symposium on Computers and Communications, 2025.<\/li>\n\n\n\n<li>ENOKI, GABRIEL S.; Astudillo, Carlos A.. Self-Supervised Learning for Spectrogram-Based Identification of Mobile Communications Technologies. 2025 13th Wireless Days Conference, 2025.<\/li>\n\n\n\n<li>SER\u00d3DIO, JO\u00c3O; FARACCO, JULIO C.; GUBITOSO, FERNANDO; NAPOLI, OT\u00c1VIO O.; SOUZA, ALAN; MIRANDA, DANIEL; Astudillo, Carlos A.; BORIN, EDSON. SPINN: a Tool for Distributed Patch Inference on Massive Data Samples. 2025 IEEE\/SBC 37th International Symposium on Computer Architecture and High Performance Computing, 2025.<\/li>\n\n\n\n<li>GONZALES, PEDRO A.; RIBEIRO, SILVIO; OROZCO, JUAN S.; BECERRA, JHONATAN D.; VILCHEZ, V\u00cdCTOR; MOSCA, EDUARDO; DE ANDRADE, TIAGO P. C.; GONZALEZ, DIANA C.; Astudillo, Carlos A.. Random Access Procedure for 5G\/6G Direct-to-Satellite LEO Connectivity with Limited-Capacity IoT Devices. 2025 IEEE Colombian Conference on Communications and Computing, 2025.<\/li>\n\n\n\n<li>BARATA, ARTHUR; RODRIGUES-FILHO, ROBERTO; Astudillo, Carlos A.; BITTENCOURT, LUIZ F.. An Interface Definition Language for Supporting Stub Generation in Self-Distributing Systems. 2025 IEEE International Conference on Quantum Software, 2025.<\/li>\n\n\n\n<li>VILCHEZ, V\u00cdCTOR; HINOJOSA, EDWARD; DE GRANDE, ROBSON E.; Astudillo, Carlos A.. Multi-Label Classification for IoT Attack Detection Using Adaptive Neuro-Fuzzy Inference System. 2025 21st International Conference on Distributed Computing in Smart Systems and the Internet of Things, 2025.<\/li>\n\n\n\n<li>RODRIGUES, A.; ROSARIO, D.; CERQUEIRA, E.; OLIVEIRA, H.. Efficient Request Management in Data Center Elastic Optical Networks. 30th IEEE Symposium on Computers and Communications, 2025.<\/li>\n\n\n\n<li>BRITO, M.; FLEXA, RODRIGO; SANTOS, HUGO; VIEIRA, D.; ROSARIO, D.; CERQUEIRA, E.. An Efficient and Resilience Mechanism for Immersive Service Using Microservice Chaining. 30th IEEE Symposium on Computers and Communications, 2025.<\/li>\n\n\n\n<li>VEIGA, R.; MORAIS, R.; BUSTINCIO, R.; Bastos, Lucas; ROSARIO, D.; SARGENTO, SUSANA; CERQUEIRA, E.. OPALA: Optimized Pruning Adaptive Learning Approach for Federated Learning Scenarios. 30th IEEE Symposium on Computers and Communications, 2025.<\/li>\n\n\n\n<li>SOUZA, T.; Neto, A.; FONTES, R.; Ros\u00e1rio, D.; CERQUEIRA, E.; MENDES, P.. P4-Based Emulation of LoWPAN and RPL Networks for Aviation Telemetry and Communication. 21st International Conference on Network and Service Management, 2025.<\/li>\n\n\n\n<li>TORQUATO, M.; CRUZ, T.; Ros\u00e1rio, D.; Nogueira, M.; CERQUEIRA, E.. Exploratory Performance Evaluation of VM Migration as MQTT Moving Target Defense. 21st International Conference on Network and Service Management, 2025.<\/li>\n\n\n\n<li>KHAN, MEER MUHAMMAD; MADEIRA, EDMUNDO ROBERTO MAURO. ASSESSOR 360\u00b0: A MPEG-DASH Based Framework to Estimate QoE for Encrypted 360\u00b0 Video Traffic with Multi-Access Edge Computing (MEC) over 5G. 2025 12th International Conference on Future Internet of Things and Cloud, 2025.<\/li>\n\n\n\n<li>GONCALVES, DIOGO; BITTENCOURT, LUIZ; Madeira, Edmundo. Dynamic Network Slicing for User Mobility Support in 5G Networks. 2025 IEEE Network Operations and Management Symposium, 2025.<\/li>\n\n\n\n<li>SILVA, PETR\u00d4NIO C. L.; ORANG, OMID; DA SILVA, FELIPE AUGUSTO ROCHA; BARROS, PEDRO H.; Ramos, Heitor S.; GUIMAR\u00c3ES, FREDERICO GADELHA. Driver Maneuver Classification Based on Multivariate Fuzzy Time Series. 2025 IEEE International Conference on Fuzzy Systems, 2025.<\/li>\n\n\n\n<li>BARROS, PEDRO H.; POLIDO, T\u00daLIO; GUEVARA, JUDY C.; Villas, Leandro; Guidoni, Daniel; DA FONSECA, NELSON L. S.; Ramos, Heitor S.. Personalized federated learning for sedentary behavior classification with heterogeneous feature distributions under adversarial threats. 2025 International Joint Conference on Neural Networks, 2025.<\/li>\n\n\n\n<li>FELIX, ANDREIA A.; DA COSTA, JOAHANNES B. D.; OLIVEIRA, HELDER M. N. DA S.. Assessing Vehicle Collision Prevention based on Machine Learning and V2X Communication. 2025 IEEE 102nd Vehicular Technology Conference, 2025.<\/li>\n\n\n\n<li>SILVA, L. S.; FREITAS, E. P.; WICKBOLDT, J. A.. A P4 Practical Deployment of Priority Queues with Stratum and ONOS. 39th IEEE International Conference on Advanced Information Networking and Applications, 2025.<\/li>\n\n\n\n<li>ALVES, VIN\u00cdCIUS BOFF; Wickboldt, Juliano Araujo; CORDEIRO, WEVERTON; BASSO, MARCELO; RAMOS, LAURA BECKER; GUILLEMOT, JULIEN; RIKER, ANDR\u00c9; ABEL\u00c9M, ANT\u00d4NIO; GASPARY, LUCIANO; ZHANI, MOHAMED FATEN; GALAN-JIMENEZ, JAIME. Towards Programmable Low-End Networking: Research Challenges and Lessons Learned. 2025 IEEE Network Operations and Management Symposium, 2025.<\/li>\n\n\n\n<li>MENIN, CARLOS EDUARDO; SILVA, IGOR MARTINS; ALVES, VIN\u00cdCIUS BOFF; LANDO, GABRIEL; BOTH, CRISTIANO BONATO; NOGUEIRA, JOS\u00c9 MARCOS S.; Wickboldt, Juliano Araujo. Explainable Performance Analysis of Open-Source 5G Core Network Implementations Via Observability. 2025 IEEE 11th International Conference on Network Softwarization, 2025.<\/li>\n\n\n\n<li>MENIN, CARLOS EDUARDO; SILVA, IGOR MARTINS; ALVES, VIN\u00cdCIUS BOFF; LANDO, GABRIEL; BOTH, CRISTIANO BONATO; NOGUEIRA, JOS\u00c9 MARCOS S.; Wickboldt, Juliano Araujo. Enabling Cloud-Native Observability for White-Box Performance Analysis of the 5G Core. 2025 IEEE Network Operations and Management Symposium, 2025.<\/li>\n\n\n\n<li>INAYAT, AFAQ; SAUERESSIG, M.; FIGUEREDO FRANCO, MURIEL; SCHEID, EDER JOHN; GRANVILLE, LISANDRO ZAMBENETTI. Employing PDDL Plan to Recommend Security Controls. International Conference on Advanced Information Networking and Applications, 2025.<\/li>\n\n\n\n<li>SAUERESSIG, MATHEUS; FRANCO, MURIEL F.; SCHEID, EDER J.; NUNES, JO\u00c3O DAVI M.; NOBRE, J\u00c9FERSON C.; Granville, Lisandro Z.. Dhana: An Economic-Oriented Approach for Traffic Management using Software-Defined Networking. 2025 IEEE Symposium on Computers and Communications, 2025.<\/li>\n\n\n\n<li>PERETTO, Eduardo Raupp; SOARES FILHO, Manoel Narciso Reis; SOUSA, D\u00e9bora Cristina Santos; GASPARY, LUCIANO PASCHOAL; GRISCI, Bruno Iochins. Towards an ML Assisted DASH-based Architecture: Leveraging Predictive Network Analyses with Interpretability. 2025 20th International Conference on Network and Service Management, 2025.<\/li>\n\n\n\n<li>LESSA, Jo\u00e3o Vicente Fatur; MARQUES, JONATAS ADILSON; PARIZOTTO, Ricardo; GASPARY, LUCIANO PASCHOAL. In-Network Inference with NEURALP4: Auto-Generating Full-Fledged NN Models for PDPs. 38th IEEE\/IFIP Network Operations and Management Symposium, 2025.<\/li>\n\n\n\n<li>HAGEN, Lucas Sonntag; ILHA, ALEXANDRE DA SILVEIRA; PARIZOTTO, Ricardo; GASPARY, LUCIANO PASCHOAL. RNA: Automating IDS\/IPS Event Detection Offload into Programmable Forwarding Devices. 38th IEEE\/IFIP Network Operations and Management Symposium, 2025.<\/li>\n\n\n\n<li>LAMB, IVAN; da Costa Cordeiro, Weverton Luis; DUARTE, Pedro Arthur Pinheiro Rosa; MARQUES, JONATAS ADILSON; LUIZELLI, Marcelo Caggiani; GASPARY, LUCIANO PASCHOAL; TAVARES, Anderson; FERREIRA, Ronaldo Alves; CUNHA, Italo Fernando Scot\u00e1; DE AZAMBUJA, Jos\u00e9 Rodrigo Furlanetto. Distributed Graph Neural Networks in Programmable Data Planes. 38th IEEE\/IFIP Network Operations and Management Symposium, 2025.<\/li>\n\n\n\n<li>PINTO, L. V. L.; SERUFFO, MARCOS C\u00c9SAR DA ROCHA. OACE: Multi-criteria Assessment of Assertiveness and Cost for Deep Learning Models. Concurso de Trabalhos de Inicia\u00e7\u00e3o Cient\u00edfica do Simp\u00f3sio Brasileiro de Sistemas Multim\u00eddia e Web, 2025.<\/li>\n\n\n\n<li>T\u00c1PARO, FELIPE G.; Moraes, Igor M.; CAMPISTA, MIGUEL E. M.. ns3-oran-customizable-db: Uma Ferramenta para Constru\u00e7\u00e3o de Base de Dados Personaliz\u00e1vel para Simula\u00e7\u00f5es Open RAN. XLIII Simp\u00f3sio Brasileiro de Redes de Computadores e Sistemas Distribu\u00eddos, 2025.<\/li>\n\n\n\n<li>MANH\u00c3ES, BRENO V.; FERREIRA, JO\u00c3O PEDRO M. F.; THOMAZ, GUILHERME A.; Campista, Miguel Elias M.. Avalia\u00e7\u00e3o da Privacidade Diferencial Aplicada ao Aprendizado Federado Atrav\u00e9s de Ataques de Invers\u00e3o de Modelo. XXV Simp\u00f3sio Brasileiro de Ciberseguran\u00e7a, 2025.<\/li>\n\n\n\n<li>GILBERT, MATEUS S.; PACHECO, ROBERTO G.; Couto, Rodrigo S.; FLADENMULLER, ANNE; DE AMORIM, MARCELO DIAS; DE CAMPOS, MARCELLO L. R.; Campista, Miguel Elias M.. Early-Exit Criteria for Edge Semantic Segmentation. 2025 IEEE International Conference on Machine Learning for Communication and Networking, 2025.<\/li>\n\n\n\n<li>GILBERT, MATEUS S.; PACHECO, ROBERTO G.; Couto, Rodrigo S.; FLADENMULLER, A.; AMORIM, MARCELO DIAS; CAMPOS, M. L. R.; Campista, Miguel Elias M.. Comment d\u00e9cider du moment de partir. 27\u00e8mes Rencontres Francophones sur les Aspects Algorithmiques des T\u00e9l\u00e9communications, 2025.<\/li>\n\n\n\n<li>T\u00c1PARO, FELIPE G.; Moraes, Igor M.; Campista, Miguel Elias M.. NS3-Oran-Customizable-Db: A Tool for Building a Customizable Database for Open RAN Simulations. 2025 13th Wireless Days Conference, 2025.<\/li>\n\n\n\n<li>SILVA, R. S.; SILVEIRA, P. C.; PACHECO, ROBERTO G.; MENASCHE, D. S.; Campista, Miguel Elias M.. Fault-Resilient Adaptive Offloading with Priority Buffers for Early-Exit Deep Neural Networks. IEEE 36th International Symposium on Software Reliability Engineering Workshops, 2025.<\/li>\n\n\n\n<li>LUCIANO FILHO, E. A.; Campista, Miguel Elias M.. Multiple-agent opportunistic data gathering in IoT networks using group selection. 17th IEEE Latin-American Conference on Communications, 2025.<\/li>\n\n\n\n<li>DE OLIVEIRA, NICOLLAS R.; CAMPOS, GABRIEL A.; ALVES, IGOR R.; WATANABE, JO\u00c3O ANDR\u00c9 C.; COUTO, RODRIGO S.; MORAES, IGOR M.; DE MEDEIROS, DIANNE S. V.; MATTOS, DIOGO M. F.. Quantization Effects on Large Language Models for Intent-Based Network Management. 12th IFIP International Conference on New Technologies, Mobility and Security, 2025.<\/li>\n<\/ol>\n\n\n\n<h4 class=\"wp-block-heading\">Nacionais<\/h4>\n\n\n\n<ol class=\"wp-block-list\">\n<li>CUNHA, D. M.; PEDROSO, M. A. G.; CICERI, O.; da Fonseca, Nelson L. S.; ASTUDILLO, C. A.. Avalia\u00e7\u00e3o de Desempenho de Aplica\u00e7\u00f5es de Aprendizado Federado em Redes de Acesso Compartilhadas. XXIV Workshop em Desempenho de Sistemas Computacionais e de Comunica\u00e7\u00e3o, 2025.<\/li>\n\n\n\n<li>JARCZEWSKI, RAFAEL O. ; CERQUEIRA, EDUARDO ; BITTENCOURT, LUIZ F. ; Loureiro, Antonio A. F. ; Villas, Leandro A. ; DE SOUZA, ALLAN M., Como Agregar e N\u00e3o Influenciar Modelos &#8211; Controlando a Influ\u00eancia de Clientes no Aprendizado Federado Din\u00e2mico. Simp\u00f3sio Brasileiro de Redes de Computadores e Sistemas Distribu\u00eddos, 2025.<\/li>\n\n\n\n<li>BARROS, P. H. ; MURAI, FABRICIO ; HOUMANSADR, AMIR ; LOUREIRO, A. A. F. ; FRERY, A. C. ; RAMOS, H. S. . Mitiga\u00e7\u00e3o de Envenenamento de R\u00f3tulos em Sistemas de Detec\u00e7\u00e3o de DDoS Federados. Simp\u00f3sio Brasileiro de Redes de Computadores e Sistemas Distribu\u00eddos, 2025.<\/li>\n\n\n\n<li>TALASSO, GABRIEL U.; DE SOUZA, ALLAN M.; GUIDONI, DANIEL; Cerqueira, Eduardo; VILLAS, LEANDRO A.. Fine-Tuning Eficiente de Modelos de Linguagem Para Detectar Anomalias em Logs Privados usando Aprendizado Federado. XLIII Simp\u00f3sio Brasileiro de Redes de Computadores e Sistemas Distribu\u00eddos, 2025.<\/li>\n\n\n\n<li>FILHO, CASSIUS; SOUZA, TIAGO; FONTES, RAMON; Cerqueira, Eduardo. Mininet-WPAN: Enabling WPAN and IoT Emulations with 802.15.4 Support. XLIII Simp\u00f3sio Brasileiro de Redes de Computadores e Sistemas Distribu\u00eddos, 2025.<\/li>\n\n\n\n<li>COSTA, ERICK; FLEXA, RODRIGO; BRITO, MATHEUS; SANTOS, HUGO; ASTUDILLO, CARLOS; ROS\u00c1RIO, DENIS; Cerqueira, Eduardo. An Intelligent Micro-service Chain Orchestrator for Immersive Media Services under the presence of Server Failure Events. XXX Workshop de Ger\u00eancia e Opera\u00e7\u00e3o de Redes e Servi\u00e7os, 2025.<\/li>\n\n\n\n<li>C. BATISTA, JO\u00c3O PEDRO; SCHMITZ BASTOS, JOHANN J.; DOS REIS FONTES, RAMON; Cerqueira, Eduardo; F. S. MOTA, VIN\u00cdCIUS; S. VILLA\u00c7A, RODOLFO. Detec\u00e7\u00e3o e Mitiga\u00e7\u00e3o de Ataques de Invers\u00e3o de R\u00f3tulos em Modelos Compactados e Privados no Aprendizado Federado. XLIII Simp\u00f3sio Brasileiro de Redes de Computadores e Sistemas Distribu\u00eddos, 2025.<\/li>\n\n\n\n<li>SILVA, FRANCISCO AIRTON; SOUZA, ALLAN M. DE; ALMEIDA, IAGO; Cerqueira, Eduardo; BITTENCOURT, LUIZ FERNANDO; ROS\u00c1RIO, DENIS. Uma Perspectiva Anal\u00edtica para Avalia\u00e7\u00e3o de Desempenho no Aprendizado Federado. XLIII Simp\u00f3sio Brasileiro de Redes de Computadores e Sistemas Distribu\u00eddos, 2025.<\/li>\n\n\n\n<li>SCHMITZ BASTOS, JOHANN J.; C. BATISTA, JO\u00c3O PEDRO; DOS REIS FONTES, RAMON; Cerqueira, Eduardo; S. VILLA\u00c7A, RODOLFO; F. S. MOTA, VIN\u00cdCIUS. Otimizando Energia no Aprendizado Federado em Redes de Baixa pot\u00eancia e com Alta Taxa de Perda de Pacotes. XLIII Simp\u00f3sio Brasileiro de Redes de Computadores e Sistemas Distribu\u00eddos, 2025.<\/li>\n\n\n\n<li>TEIXEIRA DA SILVA, ALAN; R. CESEN, FABRICIO; CLERICI, RAFAEL; E. ROTHENBERG, CHRISTIAN; Cerqueira, Eduardo; TESTONI, VANESSA. Ambiente Program\u00e1vel para Transmiss\u00e3o e An\u00e1lise de Qualide de Experi\u00eancia de V\u00eddeo Volum\u00e9trico. XLIII Simp\u00f3sio Brasileiro de Redes de Computadores e Sistemas Distribu\u00eddos, 2025.<\/li>\n\n\n\n<li>MORAIS, RENAN; VEIGA, RAFAEL; BASTOS, LUCAS; ROS\u00c1RIO, DENIS; Cerqueira, Eduardo. An Efficient Method for Model Compression for Federated Learning Scenarios. XLIII Simp\u00f3sio Brasileiro de Redes de Computadores e Sistemas Distribu\u00eddos, 2025.<\/li>\n\n\n\n<li>SOUSA, JOHN LUCAS R. P. DE; RIBEIRO, EDUARDO; BASTOS, LUCAS; ROS\u00c1RIO, DENIS; Cerqueira, Eduardo. ALFadapt: Mitigating Catastrophic Forgetting in Federated Learning. XLIII Simp\u00f3sio Brasileiro de Redes de Computadores e Sistemas Distribu\u00eddos, 2025.<\/li>\n\n\n\n<li>SANTOS, FRANCES ALBERT; SILVA, THIAGO HENRIQUE; VILLAS, LEANDRO APARECIDO. Urban Perception Extraction from Texts Shared on Social Media: Framework and Applications. XLIII Simp\u00f3sio Brasileiro de Redes de Computadores e Sistemas Distribu\u00eddos, 2025.<\/li>\n\n\n\n<li>D. FARIA, YURI DIMITRE; BITTENCOURT, LUIZ F.; Villas, Leandro; DE SOUZA, ALLAN M.. O Que N\u00e3o \u00e9 Visto, N\u00e3o \u00e9 Lembrado: Aprendizado Federado Eficiente com Criptografia Homom\u00f3rfica. XLIII Simp\u00f3sio Brasileiro de Redes de Computadores e Sistemas Distribu\u00eddos, 2025.<\/li>\n\n\n\n<li>BRAUN, CARNOT; JARCZEWSKI, RAFAEL O.; Villas, Leandro; MOURA, PEDRO; DE SOUZA, ALLAN M.. Modelagem Preditiva e Interpreta\u00e7\u00e3o de Emiss\u00f5es de Di\u00f3xido de Carbono em M\u00e1quinas Agr\u00edcolas com T\u00e9cnicas de IA. IX Workshop de Computa\u00e7\u00e3o Urbana, 2025.<\/li>\n\n\n\n<li>C. DE SOUZA, LUCAS AIRAM; THOMAZ, GUILHERME ARA\u00daJO; DE M. SILVA, FERNANDO DIAS; GILBERT, MATEUS DA SILVA; ACHIR, NADJIB; M. CAMPISTA, MIGUEL ELIAS; M. K. COSTA, LU\u00cdS HENRIQUE. DIGA: Defini\u00e7\u00e3o e Implementa\u00e7\u00e3o de Modelos com Aprendizado Generativo para Aplica\u00e7\u00f5es Inteligentes. XXX Workshop de Ger\u00eancia e Opera\u00e7\u00e3o de Redes e Servi\u00e7os, 2025.<\/li>\n\n\n\n<li>V. RUBINSTEIN, PEDRO; KAUER, RICARDO L.; G. CARDEMAN, ALEXANDRE; ABELHEIRA, MARCELO; CRUZ, PEDRO; S. COUTO, RODRIGO; M. K. COSTA, LU\u00cdS HENRIQUE. Melhoria da Segmenta\u00e7\u00e3o de Imagens em Condi\u00e7\u00f5es Adversas no Monitoramento de Infraestrutura Costeira. IX Workshop de Computa\u00e7\u00e3o Urbana, 2025.<\/li>\n\n\n\n<li>BORZINO, TIAGO R.; SILVA, FERNANDO D. M.; VIANA, ALINE C.; Costa, Lu\u00eds Henrique M. K.. An\u00e1lise da Qualidade de Servi\u00e7o do Sistema P\u00fablico de \u00d4nibus Urbanos atrav\u00e9s de Monitoramento por GPS. IX Workshop de Computa\u00e7\u00e3o Urbana, 2025.<\/li>\n\n\n\n<li>DE SOUZA, LUCAS AIRAM C.; SAMMARCO, MATTEO; ACHIR, NADJIB; CAMPISTA, M. E. M.; MACIEL KOSMALSKI COSTA, LUIS HENRIQUE. TOFL: Time Optimized Federated Learning. XXV Simp\u00f3sio Brasileiro de Ciberseguran\u00e7a, 2025.<\/li>\n\n\n\n<li>THOMAZ, GUILHERME A.; SILVA, FERNANDO DIAS DE M.; DE SOUZA, LUCAS AIRAM C.; Costa, Lu\u00eds Henrique M. K.; Campista, Miguel Elias M.. AGATA &#8211; Arquitetura para Gerenciamento Autom\u00e1tico de Tarefas de Aprendizado Federado. XLIII Simp\u00f3sio Brasileiro de Redes de Computadores e Sistemas Distribu\u00eddos, 2025.<\/li>\n\n\n\n<li>PUTTLITZ, CLEITON; Schaeffer-Filho, Alberto. P4eBalancer: Leveraging P4 and eBPF for Optimized Load Balancing with Network and Host Insights. XLIII Simp\u00f3sio Brasileiro de Redes de Computadores e Sistemas Distribu\u00eddos, 2025.<\/li>\n\n\n\n<li>SCHMIDT, TIAGO TORRES; GRANVILLE, LISANDRO Z.; Schaeffer-Filho, Alberto. Analyzing Energy and Performance Trade-offs for Network Anomaly Detection based on Deep Learning. XLIII Simp\u00f3sio Brasileiro de Redes de Computadores e Sistemas Distribu\u00eddos, 2025.<\/li>\n\n\n\n<li>CASSOLA, AMAURY TEIXEIRA; Schaeffer-Filho, Alberto. K-Flix: Clustering-Based Video Streaming Traffic Identification in Programmable Data Planes. XLIII Simp\u00f3sio Brasileiro de Redes de Computadores e Sistemas Distribu\u00eddos, 2025.<\/li>\n\n\n\n<li>GON\u00c7ALVES, MIZAEL PEREIRA; SOUZA, ALLAN M. DE; TORRES NETO, JOS\u00c9 RODRIGUES. Monitoramento remoto de \u00e1reas utilizando VANTs: uma abordagem baseada na Transfer\u00eancia do Aprendizado e Aprendizado Federado. IX Workshop de Computa\u00e7\u00e3o Urbana, 2025.<\/li>\n\n\n\n<li>BRAUN, CARNOT; JARCZEWSKI, RAFAEL O.; DA COSTA, JOAHANNES B. D.; DE SOUZA, ALLAN M.. NEO: Aprendizado Federado com Meta-Aprendizado Din\u00e2mico para Redes Veiculares. IX Workshop de Computa\u00e7\u00e3o Urbana, 2025.<\/li>\n\n\n\n<li>VEGA CENTENO OLIVERA, RONALDINHO; SANTOS, FRANCES A.; DOS REIS, JULIO CESAR; DE SOUZA, ALLAN M.. Aprimorando Gera\u00e7\u00e3o Aumentada por Recupera\u00e7\u00e3o via Ajuste Fino Sequencial de Modelos de Linguagem Pequenos. XL Simp\u00f3sio Brasileiro de Banco de Dados, 2025.<\/li>\n\n\n\n<li>ROCHA, ANDR\u00c9 SANTOS; SOUZA, ALLAN M. DE. Sistema de Detec\u00e7\u00e3o de Intrus\u00f5es baseado em Aprendizagem por Refor\u00e7o Federada. XLIII Simp\u00f3sio Brasileiro de Redes de Computadores e Sistemas Distribu\u00eddos, 2025.<\/li>\n\n\n\n<li>DIAS, VICTOR; SILVA, MURILO; GOMES, MATHEUS; BORGES, LUCAS; RIKER, ANDR\u00c9; ABEL\u00c9M, Ant\u00f4nio. Ataque Adversarial de Evas\u00e3o a Sistema de Detec\u00e7\u00e3o de Intrus\u00e3o e M\u00e9todos de Defesa em Redes Open RAN. XXV Simp\u00f3sio Brasileiro de Ciberseguran\u00e7a, 2025.<\/li>\n\n\n\n<li>ABREU, DIEGO; MOURA, DAVID; ROTHENBERG, CHRISTIAN; ABEL\u00c9M, Ant\u00f4nio. Rede Generativa Adversarial Qu\u00e2ntica Semi-Supervisionada (sQGAN) para Detec\u00e7\u00e3o de Ataques. XLIII Simp\u00f3sio Brasileiro de Redes de Computadores e Sistemas Distribu\u00eddos, 2025.<\/li>\n\n\n\n<li>DE OLIVEIRA, LUCAS B.; DA SILVA, MURILO C.; MARQUES, DANIEL DE A. L.; DE ARA\u00daJO, GUSTAVO H.; SCHWARZ, MARCOS F.; FARIAS, FERNANDO N. N.; BONDAN, LUCAS; GRANVILLE, LISANDRO Z.; ABEL\u00c9M, ANTONIO J. G.. Advancing Open RAN Deployment and Management on the OpenRAN@Brasil Testbed. 2025 IEEE Network Operations and Management Symposium, 2025.<\/li>\n\n\n\n<li>MOSCA, E.; ANDRADE, T. P. C.; PEREIRA, R.; BARATA, A.; Carlos A. Astudillo. Procedimento de Acesso Aleat\u00f3rio em Redes 5G\/6G Integradas com Sat\u00e9lites de \u00d3rbita Terrestre Baixa. V Workshop de Redes 6G, 2025.<\/li>\n\n\n\n<li>SILVA, MATTEUS V. S.; Astudillo, Carlos A.; BITTENCOURT, LUIZ F.. Federated Urban Flow: A Model-Centric Benchmark for Reproducible Evaluation of Deep Learning in Federated Traffic Forecasting. 2025 3rd International Conference on Federated Learning Technologies and Applications, 2025.<\/li>\n\n\n\n<li>GON\u00c7ALVES, DIOGO M.; BITTENCOURT, LUIZ F.; Madeira, Edmundo R. M.. Dynamic Network Slicing for User Mobility Support in 5G Networks. XXXVIII Concurso de Teses e Disserta\u00e7\u00f5es (CTD 2025), 2025.<\/li>\n\n\n\n<li>MAEKAWA, CHRISTIAN; SENNA, Carlos; Madeira, Edmundo. Edge auditing centers to improve blockchain-based reputation system for smart cities. XLIII Simp\u00f3sio Brasileiro de Redes de Computadores e Sistemas Distribu\u00eddos, 2025.<\/li>\n\n\n\n<li>LIBARDI, GUILHERME M. A.; KIMURA, BRUNO Y. L.; DA COSTA, JOAHANNES B. D.. Menos \u00e9 Mais: Avalia\u00e7\u00e3o do Impacto da Compress\u00e3o de Modelos na Efici\u00eancia do Aprendizado Federado. XLIII Simp\u00f3sio Brasileiro de Redes de Computadores e Sistemas Distribu\u00eddos, 2025.<\/li>\n\n\n\n<li>SILVA, L. S.; FREITAS, E. P.; WICKBOLDT, J. A.. A P4 Practical Deployment of Priority Queues with Stratum and ONOS. 39th IEEE International Conference on Advanced Information Networking and Applications, 2025.<\/li>\n\n\n\n<li>ARIOZA, DANIEL; NOBRE, JEFERSON CAMPOS; GRANVILLE, Lisandro Zambenedetti. Abordagem Cross-layer para Detec\u00e7\u00e3o de Intrus\u00e3o Integrando eBPF e Machine Learning. XLIII Simp\u00f3sio Brasileiro de Redes de Computadores e Sistemas Distribu\u00eddos, 2025.<\/li>\n\n\n\n<li>KOENICH, ANDREI POCHMANN; CAMARGO, ARTHUR VIN\u00cdCIUS CUNHA; BERTHOLDO, LEANDRO MARCIO; BARRETO, RENAN PAREDES; GRANVILLE, Lisandro Zambenedetti. BGP Communities: Analysis of Adoption and Dataset Creation. XXII Escola Regional de Redes de Computadores, 2025.<\/li>\n\n\n\n<li>DA SILVA, Aline Fraga; LAMB, IVAN; DUARTE, Pedro Arthur Pinheiro Rosa; DE AZAMBUJA, Jos\u00e9 Rodrigo Furlanetto; LUNARDI, Roben Castagna; GASPARY, LUCIANO PASCHOAL; da Costa Cordeiro, Weverton Luis. Posicionamento e Encadeamento em NFV: Como Lidar Quando o Plano de Dados \u00e9 Program\u00e1vel e Multi-Tenant?. XLIII Simp\u00f3sio Brasileiro de Redes de Computadores e Sistemas Distribu\u00eddos, 2025.<\/li>\n\n\n\n<li>PINTO, L. V. L.; SERUFFO, MARCOS C\u00c9SAR DA ROCHA. OACE: Multi-criteria Assessment of Assertiveness and Cost for Deep Learning Models. Concurso de Trabalhos de Inicia\u00e7\u00e3o Cient\u00edfica do Simp\u00f3sio Brasileiro de Sistemas Multim\u00eddia e Web, 2025.<\/li>\n\n\n\n<li>JESUS JUNIOR, M.; FALCAO, J. F.; FALCAO, I. W. S.; PEREIRA, R. W. S.; SALES JUNIOR, C. S.; RODRIGUES, C. M. F.; SANTOS, A. E. C.; SERUFFO, MARCOS CESAR DA ROCHA. Aplica\u00e7\u00e3o de T\u00e9cnicas de Machine Learning na Modelagem de Perda de Propaga\u00e7\u00e3o Indoor. XV Confer\u00eancia Nacional em Comunica\u00e7\u00f5es, Redes e Seguran\u00e7a da Informa\u00e7\u00e3o, 2025.<\/li>\n\n\n\n<li>T\u00c1PARO, FELIPE G.; Moraes, Igor M.; CAMPISTA, MIGUEL E. M.. ns3-oran-customizable-db: Uma Ferramenta para Constru\u00e7\u00e3o de Base de Dados Personaliz\u00e1vel para Simula\u00e7\u00f5es Open RAN. XLIII Simp\u00f3sio Brasileiro de Redes de Computadores e Sistemas Distribu\u00eddos, 2025.<\/li>\n\n\n\n<li>MANH\u00c3ES, BRENO V.; FERREIRA, JO\u00c3O PEDRO M. F.; THOMAZ, GUILHERME A.; Campista, Miguel Elias M.. Avalia\u00e7\u00e3o da Privacidade Diferencial Aplicada ao Aprendizado Federado Atrav\u00e9s de Ataques de Invers\u00e3o de Modelo. XXV Simp\u00f3sio Brasileiro de Ciberseguran\u00e7a, 2025.<\/li>\n\n\n\n<li>PACHECO, ROBERTO G.; BAJPAI, DIVYA J.; SHIFRIN, MARK; Couto, Rodrigo S.; MENASCH\u00c9, DANIEL SADOC; HANAWAL, MANJESH K.; Campista, Miguel Elias M.. Otimizando Sa\u00eddas Antecipadas em Redes Neurais Profundas: Como Lidar com Buffers?. XLIII Simp\u00f3sio Brasileiro de Redes de Computadores e Sistemas Distribu\u00eddos, 2025.<\/li>\n\n\n\n<li>Gantert, Luana; CAMPISTA, MIGUEL ELIAS M. Sele\u00e7\u00e3o do Modelo Federado Baseada em Previs\u00e3o de Desempenho e Tempo de Comunica\u00e7\u00e3o. XLIII Simp\u00f3sio Brasileiro de Telecomunica\u00e7\u00f5es e Processamento de Sinais, 2025.<\/li>\n\n\n\n<li>T\u00c1PARO, FELIPE G.; Moraes, Igor M.; Campista, Miguel Elias M.. NS3-Oran-Customizable-Db: A Tool for Building a Customizable Database for Open RAN Simulations. 2025 13th Wireless Days Conference, 2025.<\/li>\n\n\n\n<li>GARC\u00caS, JO\u00c3O VITOR A.; WATANABE, JO\u00c3O ANDR\u00c9 C.; DE OLIVEIRA, NICOLLAS R.; COUTO, RODRIGO S.; MORAES, IGOR M.; DE MEDEIROS, DIANNE S. V.; MATTOS, DIOGO M. F.. Arquitetura de Gerenciamento Baseado em Inten\u00e7\u00f5es para Open RAN com Controle Din\u00e2mico de Largura de Banda. XLIII Simp\u00f3sio Brasileiro de Redes de Computadores e Sistemas Distribu\u00eddos, 2025.<\/li>\n<\/ol>\n\n\n\n<h1 class=\"wp-block-heading\">2024<\/h1>\n\n\n\n<h4 class=\"wp-block-heading\">Internacionais<\/h4>\n\n\n\n<ol class=\"wp-block-list\">\n<li>BARROS, P. H.; GUEVARA, J. C.; VILLAS, L. A.; GUIDONI, D. L.; da Fonseca, N. L. S.; RAMOS FILHO, H. S. Hierarchical Federated Learning Based on Ordinal Patterns for Detecting Sedentary Behavior. In: Proc. of 2024 International Joint Conference on Neural Networks (IJCNN). New York: IEEE, 2024. p. 1\u20135.<\/li>\n\n\n\n<li>JORGE, JHON; GUEVARA, JUDY C.; GUIDONI, DANIEL L.; RAMOS, HEITOR S.; VILLAS, LEANDRO A.; da Fonseca, Nelson L. S. Tremor Detection in Parkinson\u2019s Disease from Wearable Data: A Comparative Study of Centralized Learning versus Federated Learning. In: 2024 20th International Conference on Distributed Computing in Smart Systems and the Internet of Things (DCOSSIoT), 2024, Abu Dhabi.<\/li>\n\n\n\n<li>CANATO, R. L. C.; MELO, C. A. V.; da Fonseca, Nelson L. S. Resource Allocation for Immersive Content Delivery in the Cloud-Edge Continuum Authors. In: Proc. of the 2024 IEEE Latin America Conference on Communications. New York: IEEE, 2024. p. 1\u20135.<\/li>\n\n\n\n<li>TALASSO, GABRIEL U.; DE SOUZA, ALLAN M.; BITTENCOURT, LUIZ F.; CERQUEIRA, EDUARDO; Loureiro, Antonio A. F.; Villas, Leandro A. FedSCCS: Hierarchical Clustering with Multiple Models for Federated Learning. In: Proc of ICC 2024 &#8211; IEEE International Conference on Communications, 2024. p. 3280\u20136.<\/li>\n\n\n\n<li>GASPAR, STEFANY; DA CUNHA, FELIPE DOMINGOS; Loureiro, Antonio A. F. Enhancing Trace Representation Using Public Transportation Data. In: 2024 20th International Conference on Distributed Computing in Smart Systems and the Internet of Things (DCOSSIoT), 2024, Abu Dhabi. p. 708.<\/li>\n\n\n\n<li>Andrei Ribeiro; OLIVEIRA, A.; SALES, R.; RAMOS, I.; LOBATO, F.; SILVA, M.; CARDOSO, V. R.; CRISOSTOMO, J.; CERQUEIRA, E. C. Decentralized Federated Learning-based Approach for Fault Detection in Optical Networks. In: Latin America Optics and Photonics Conference (LAOP) 2024, 2024, Puerto Vallarta.<\/li>\n\n\n\n<li>MARTINS, BRUNO S.; SOUZA, ALLAN M.; ROS\u00c1RIO, DENIS; ASTUDILLO, CARLOS A.; Cerqueira, Eduardo; VILLAS, LEANDRO. Partial Training Mechanism to Handle the Impact of Stragglers in Federated Learning with Heterogeneous Clients. In: 2024 IEEE Symposium on Computers and Communications (ISCC), 2024, Paris. v. 1. p. 1.<\/li>\n\n\n\n<li>Carlos Rocha; PACHECO, L.; Lucas Bastos; BITTENCOURT, L.; VILLAS, LEANDRO; ROSARIO, D.; Cerqueira, Eduardo. COOP: A Computing and Offloading Algorithm for UAV-Assisted Ground Networks. In: IEEE Conference on Network Function Virtualization and Software Defined Networks (NFV-SDN 2024), 2024, Natal.<\/li>\n\n\n\n<li>Rafael Veiga; Renan Morais; SERUFFO, M.; ROSARIO, D.; Eduardo C Cerqueira. RiCAM: An Efficient Multicriteria Client Selection Mechanism for Federated Learning. In: IEEE 13th International Conference on Cloud Networking (CloudNet), 2024, Rio de Janeiro.<\/li>\n\n\n\n<li>VEIGA, RAFAEL; Renan Morais; Lucas Bastos; VILLAS, LEANDRO; ROSARIO, D.; Eduardo C Cerqueira. Resilience-aware Quarantine Selection Mechanism for Federated Learning Environments. 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