Publications

Mohamed Yassine Boukhari, Akash Dhasade, Anne-Marie Kermarrec, Rafael Pires, Othmane Safsafi, Rishi Sharma (2025). Boosting Resource-Constrained Federated Learning Systems with Guessed Updates. IEEE Transactions on Parallel and Distributed Systems.

Sayan Biswas, Mathieu Even, Anne-Marie Kermarrec, Laurent Massoulié, Rafael Pires, Rishi Sharma, Martijn De Vos (2025). Noiseless Privacy-Preserving Decentralized Learning. Proceedings on Privacy Enhancing Technologies (PoPETS) 2025.

Sayan Biswas, Davide Frey, Romaric Gaudel, Anne-Marie Kermarrec, Dimitri Lerévérend, Rafael Pires, Rishi Sharma, François Taïani (2025). Low-Cost Privacy-Preserving Decentralized Learning. Proceedings on Privacy Enhancing Technologies (PoPETS) 2025.

Sayan Biswas, Anne-Marie Kermarrec, Alexis Marouani, Rafael Pires, Rishi Sharma, Martijn De Vos (2025). Boosting Asynchronous Decentralized Learning with Model Fragmentation. Proceedings of the ACM Web Conference (WWW) 2025.

Akash Dhasade, Anne-Marie Kermarrec, Erick Lavoie, Johan Pouwelse, Rishi Sharma, Martijn De Vos (2025). Practical Federated Learning without a Server. Proceedings of the 5th Workshop on Machine Learning and Systems (EuroMLSys).

Sayan Biswas, Anne-Marie Kermarrec, Rishi Sharma, Thibaud Trinca, Martijn De Vos (2025). Fair Decentralized Learning. 2025 IEEE Conference on Secure and Trustworthy Machine Learning (SaTML).

Marie Reinbigler, Rishi Sharma, Rafael Pires, Elisabeth Brunet, Anne-Marie Kermarrec, Catalin Fetita (2025). Efficient Pyramidal Analysis of Gigapixel Images on a Decentralized Modest Computer Cluster. European Conference on Parallel Processing (EuroPar).

Youssef Allouah, Akash Dhasade, Rachid Guerraoui, Nirupam Gupta, Anne-Marie Kermarrec, Rafael Pinot, Rafael Pires, Rishi Sharma (2024). Revisiting Ensembling in One-Shot Federated Learning. 38th Annual Conference on Neural Information Processing Systems (NeurIPS).

Martijn De Vos, Akash Dhasade, Paolo Dini, Elia Guerra, Anne-Marie Kermarrec, Marco Miozzo, Rafael Pires, Rishi Sharma (2024). Energy-Aware Decentralized Learning with Intermittent Model Training. 2024 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW).

Martijn De Vos, Sadegh Farhadkhani, Rachid Guerraoui, Anne-Marie Kermarrec, Rafael Pires, Rishi Sharma (2024). Epidemic Learning: Boosting Decentralized Learning with Randomized Communication. 37th Annual Conference on Neural Information Processing Systems (NeurIPS).