(Honorable mention) (Goal 3) Gustavo PC P da Luz , Gabriel Massuyoshi Sato , Tiago Godoi Bannwart , Luis Fernando Gomez Gonzalez , Juliana Freitag Borin. 10 Years of Deep Learning for Vehicle Detection at a Smart Parking: What has Changed? Urban Computing Workshop (CoUrb 2025). 2025. [qualis B4]
(Goal 3) Allan M. de Souza, Joahannes BD da Costa, Daniel Guidoni, Gabriel Talasso, Filipe Maciel, Luis F. G. Gonzalez, Eduardo Cerqueira, Luiz F. Bittencourt, Antonio AF Loureiro, Leandro A. Villas. Mini-course: Federated Fine-tuning of Language Models in the Communication Age. 2025. [qualis A4]
(Goal 5) Marina Bitencourt. Discursivities in multimodal datasets: An analysis of #PraCegoVer. III School of Linguistic Studies of GEL (III ELinG) at the Institute of Language Studies/UNICAMP, Campinas-SP. 2025.
(Goal 5) Gustavo Bonil. Discourses and memories of representation of black and white women in texts generated by Large-Scale Language Models. III School of Linguistic Studies of GEL (III ELinG) at the Institute of Language Studies/UNICAMP, Campinas-SP. 2025.
(Goal 3) John Sousa, Eduardo Ribeiro, Lucas de Lima Bastos, Denis Rosário, Eduardo Cerqueira. ALFadapt: Mitigating Catastrophic Forgetting in Federated Learning. 43rd Brazilian Symposium on Computer Networks and Distributed Systems (SBRC). 2025 [qualis A4]
(Goal 5) Gustavo Bonil, João Gondim, Marina dos Santos, Simone Hashiguti, Helena Maia, Nadia Silva, Helio Pedrini, and Sandra Avila. Clustering Discourses: Racial Biases in Short Stories about Women Generated by Large Language Models. STIL 2025 – XVI Brazilian Symposium on Information Technology and Human Language. 2025.
(Goal 1) Renan Florencio, Silvio Fernandes, Paula D. Paro Costa. Fooling the Model, Failing the Road: Benchmarking Inertial Sensor Fidelity in Driving Simulators. 35th Brazilian Conference on Intelligent Systems (BRACIS 2025) and 22nd National Meeting on Artificial and Computational Intelligence 2025 (ENIAC 2025). 2025.
(Goal 3) Guilherme Libardi, Bruno Kimura, Joahannes BD da Costa. Less is More: Assessing the Impact of Model Compression on the Efficiency of Federated Learning. 43rd Brazilian Symposium on Computer Networks and Distributed Systems (SBRC). 2025 [qualis A4]
(Goal 3) Yuri Dimitre D. Faria, Luiz F. Bittencourt, Leandro Villas, Allan M. de Souza. Out of Sight, Out of Mind: Efficient Federated Learning with Homomorphic Encryption. 43rd Brazilian Symposium on Computer Networks and Distributed Systems (SBRC). 2025.
(Honorable mention) (Goal 3) Gabriel U Talasso, Allan M. de Souza, Daniel Guidoni, Eduardo Cerqueira, Leandro A. Villas. Efficient Fine-Tuning of Language Models to Detect Anomalies in Private Logs using Federated Learning. 43rd Brazilian Symposium on Computer Networks and Distributed Systems (SBRC). 2025.
(Goal 3) Rafael O. Jarczewski, Eduardo Cerqueira, Luiz F. Bittencourt, Antonio AF Loureiro, Leandro A. Villas, Allan M.de Souza. How to Aggregate and Not Influence Models – Controlling Client Influence in Dynamic Federated Learning. 43rd Brazilian Symposium on Computer Networks and Distributed Systems (SBRC). 2025.
(Goal 3) Carnot Luiz Braun Guimarães Filho; Rafael O. Jarczewski; Joahannes Bruno Dias da Costa; Allan Mariano de Souza. NEO: Federated Learning with Dynamic Meta-Learning for Vehicular Networks. 43rd Brazilian Symposium on Computer Networks and Distributed Systems (SBRC). 2025.
(Goal 3) Carnot Luiz Braun Guimarães Filho; Rafael O. Jarczewski; Leandro Villas; Pedro M. Moura; Allan Mariano de Souza. Predictive Modeling and Interpretation of Carbon Dioxide Emissions in Agricultural Machinery with AI Techniques. 43rd Brazilian Symposium on Computer Networks and Distributed Systems (SBRC). 2025.
(Goal 3) André Santos Rocha, Allan Mariano de Souza. Intrusion Detection System Based on Federated Reinforcement Learning. 43rd Brazilian Symposium on Computer Networks and Distributed Systems (SBRC). 2025.
(Goal 5) Jhessica Silva, Helena Maia, Bruno Silva, João Gondim, Gustavo Bonil, Gabriel Santos, Helio Pedrini, Sandra Avila. Ethics and AI in the Classroom: Experience Report with the AI-Audit Game in Computer Science Disciplines. 45th CONGRESS OF THE BRAZILIAN COMPUTING SOCIETY (CSBC/WEI).
(Goal 5) Gustavo Bonil da Silva; Marina Bitencourt dos Santos. Oppressive discursivities in large language models. Brazilian Congress of Applied Linguistics (CBLA). 2025.
(Goal 3) Renan Morais, Rafael Veiga, Lucas de Lima Bastos, Denis Rosário, Eduardo Cerqueira. An Efficient Method for Model Compression for Federated Learning Scenarios. 43rd Brazilian Symposium on Computer Networks and Distributed Systems (SBRC). 2025
(Goal 3) John Sousa, Eduardo Ribeiro, Lucas de Lima Bastos, Denis Rosário, Eduardo Cerqueira. ALFadapt: Mitigating Catastrophic Forgetting in Federated Learning. 43rd Brazilian Symposium on Computer Networks and Distributed Systems (SBRC). 2025
2024
Sousa, John Lucas RP De ; Eduardo Ribeiro ; Lucas Bastos ; Allan Souza; Rosario, Denis ; Cerqueira, EC . Evaluation of Client Selection Mechanisms in Vehicular Federated Learning Environments with Client Failures. In: 42nd Brazilian Symposium on Computer Networks and Distributed Systems (SBRC), Niterói. 2024.
Silva FD, Kakimoto GK, Reis JC, Reis MS. ERASMO: Leveraging Large Language Models for Enhanced Clustering Segmentation. In XXXIV Brazilian Conference on Intelligent Systems (BRACIS), 2024. [LINK]
Patrick Alves, Otavio Napoli, Dami Duarte, Darlinne Hubert Palo Soto, Henrique Evangelista de Oliveira, Anderson Rocha, Levy Boccato, and Edson Borin. Comparing LIME and SHAP global explanations for Human Activity Recognition. In XXXIV Brazilian Conference on Intelligent Systems (BRACIS), 2024. [LINK]
Gustavo da Luz, Otavio Napoli, Jaime Vargas, Anderson Rocha, Levy Boccato, and Edson Borin. Neighborhood Coding Variants in Smartphone-Based Human Activity Recognition. In XXXIV Brazilian Conference on Intelligent Systems (BRACIS), 2024. [LINK]
Betania Eugenia Rodrigues da Silva, Otavio Napoli, Jaime Vargas, Anderson Rocha, Levy Boccato, and Edson Borin. Impact of Pre-training Datasets on Human Activity Recognition with Contrastive Predictive Coding. In XXXIV Brazilian Conference on Intelligent Systems (BRACIS), 2024. [LINK]
Nicolas Hecker, Otavio Napoli, Jaime Vargas, Anderson Rocha, Levy Boccato, and Edson Borin. Time-Frequency Consistency in Human Activity Recognition. In XXXIV Brazilian Conference on Intelligent Systems (BRACIS), 2024. [LINK]
(Best Article Award). BRABES, F.; GHEDINI, C; SILVA, A; COLOMBINI E. Task-Incremental Human Activity Recognition with Plasticity Techniques. 2024 KDMiLe – the Symposium on Knowledge Discovery, Mining, and Learning. [LINK]
(Best Article Award) Rossi, LL; Souza, B.; Lopess, M.; Gudwin, R.; Colombini, E.; I Choose You, Reinforcement Learning! Trained RL Agents For Pokémon Battles. SBGames Trilha Computação, 2024. [LINK]
BRABES, F.; GHEDINI, C; SILVA, A; COLOMBINI E.. Task-Incremental Human Activity Recognition with Plasticity Techniques. 2024 KDMiLe – the Symposium on Knowledge Discovery, Mining, and Learning. [LINK]
Joahannes BD da Costa, Allan M de Souza, Denis Rosário, Leandro Villas. TEMIS: Provisioning Justice in the Use of Computational Resources in Vehicular Clouds. XLII Brazilian Symposium on Computer Networks and Distributed Systems. Niterói, Rio de Janeiro. 2024. [LINK]
Wellington Viana Lobato Jr, Joahannes BD da Costa, Allan M de Souza, Denis Rosário, Christoph Sommer, Leandro A Villas. Dynamic Semi-Synchronous Federated Learning for Connected Autonomous Vehicles. XLII Brazilian Symposium on Computer Networks and Distributed Systems. Niterói, Rio de Janeiro. 2024. [LINK]
Romulo Bustincio, Allan M de Souza, Joahannes BD da Costa, Luis Gonzalez, Luiz F Bittencourt. FedSNIP: Single-Step Model Pruning-Based Method for Efficient Communication in Federated Learning. XLII Brazilian Symposium on Computer Networks and Distributed Systems. Niterói, Rio de Janeiro. 2024. [LINK]
(Best Article Award) Aissa Hadj Mohamed, Allan Mariano de Souza, Joahannes Bruno Dias da Costa, Leandro Villas, Julio Cesar Dos Reis. FedSeleKDistill: Empowering Customer Choice with Knowledge Distillation for Federated Learning on Non-IID Data. VIII Urban Computing Workshop (CoUrb). XLII Brazilian Symposium on Computer Networks and Distributed Systems. Niterói, Rio de Janeiro. 2024. [LINK]
(Honorable mention) Nicolas Assumpção, Leandro Villas. Fast, Private, and Secure: An Approach for Effective Federated Learning in a Hostile Environment. VIII Urban Computing Workshop (CoUrb). XLII Brazilian Symposium on Computer Networks and Distributed Systems. Niterói, Rio de Janeiro. 2024. [LINK]
Marcos Gilliard Oliveira Morais, Joahannes Bruno Dias da Costa, Luis Fernando Gomez Gonzalez, Allan Mariano de Souza, Leandro Villas. Mechanism to Mitigate Model Poisoning Attacks in Federated Learning. VIII Urban Computing Workshop (CoUrb). XLII Brazilian Symposium on Computer Networks and Distributed Systems. Niterói, Rio de Janeiro. 2024. [LINK]
Cláudio Capanema, Joahannes Bruno Dias da Costa, Fabrício Aguiar Silva, Leandro Villas, Antonio Alfredo Ferreira Loureiro. Train Less, Predict More: Federated Learning plugin enables high efficiency on heterogeneous data. VIII Urban Computing Workshop (CoUrb). XLII Brazilian Symposium on Computer Networks and Distributed Systems. Niterói, Rio de Janeiro. 2024. [LINK]
(Honorable mention) Vinícius Alves, Joahannes Bruno Dias da Costa, Luis Fernando Gomez Gonzalez, Allan Mariano de Souza, Leandro Villas. Differential Privacy-based Adaptive Customer Selection for Federated Learning. VII Workshop on Scientific Initiation and Undergraduate Work. XLII Brazilian Symposium on Computer Networks and Distributed Systems. Niterói, Rio de Janeiro. 2024. [LINK]
2023
(Best Article Award) de Souza, AM, Bittencourt, LF, Cerqueira, E., Loureiro, AA, & Villas, LA (2023, May). Devices, I Choose You: Adaptive Client Selection for Efficient Communication in Federated Learning. In Proceedings of the XLI Brazilian Symposium on Computer Networks and Distributed Systems. SBC. [LINK]
Talasso, GU, de Souza, AM, & Villas, LA (2023, May). NeuralMatch: Identifying Model-Based Customer Similarity in Federated Learning. In Extended Proceedings of the XLI Brazilian Symposium on Computer Networks and Distributed Systems. SBC. [LINK]
de Sousa, JLR, Lobato, W., Rosário, D., Cerqueira, E., & Villas, LA (2023, August). Entropy-based Client Selection Mechanism for Vehicular Federated Environments. In Proceedings of the XXII Workshop on Performance of Computational and Communication Systems. SBC. [LINK]
2022
(Best Article Award) Rossi, LL, Berto, LM, Rohmer, E., Costa, PP, Gudwin, RR, Colombini, EL, & Simoes, AS (2022, October). Procedural and sensorimotor learning in cognitive robots. In Extended Proceedings of the XIV Brazilian Symposium on Robotics and XIX Latin American Symposium on Robotics. SBC. [LINK]
Morais, G., Loron, I., Coletta, LF, Da Silva, AA, Simões, A., Gudwin, R., & Colombini, E. (2022, October). CST-Godot: Bridging the Gap Between Game Engines and Cognitive Agents. In 2022 21st Brazilian Symposium on Computer Games and Digital Entertainment (SBGames). IEEE. [LINK]
Gibaut, W., Osorio, A., Munoz, A., Neto, SF, Miranda, D., Santos, F., … & Grassiotto, F. (2022, October). Toward a Federated Model for Human Context Recognition on Edge Devices. In Brazilian Automatic Congress-CBA. [LINK]
