News

2025

• Prof. Anne-Marie Kermarrec has been honoured with the distinguished Lifetime Achievement Award at EuroSys 2025.

• Five papers from our lab will appear at the EuroMLSys 2025 workshop (co-located with EuroSys 2025):
  • “Practical Federated Learning without a Server” by Akash Dhasade, Anne-Marie Kermarrec, Erick Lavoie, Johan Pouwelse, Rishi Sharma, and Martijn de Vos
    
  • “Leveraging Approximate Caching for Faster Retrieval-Augmented Generation” by Shai Aviram Bergman, Zhang Ji, Anne-Marie Kermarrec, Diana Petrescu, Rafael Pires, Mathis Randl, and Martijn de Vos
  • “Efficient Federated Search for Retrieval-Augmented Generation” by Rachid Guerraoui, Anne-Marie Kermarrec, Diana Petrescu, Rafael Pires, Mathis Randl, and Martijn de Vos
  • “Accelerating MoE Model Inference with Expert Sharding” by Oana Balmau, Anne-Marie Kermarrec, Rafael Pires, André Loureiro Espírito Santo, Martijn de Vos, and Milos Vujasinovic
  • “Harnessing Increased Client Participation with Cohort-Parallel Federated Learning” by Akash Dhasade, Anne-Marie Kermarrec, Tuan-Ahn Nguyen (Independent Researcher), Rafael Pires, and Martijn de Vos

• Two papers from our lab have been accepted to appear in the Proceedings on Privacy Enhancing Technologies (PoPETs) 2025 and will be presented at the 25th Privacy Enhancing Technologies Symposium (PETS 2025):
  • “Low-Cost Privacy-Preserving Decentralized Learning” (in PoPETS Issue 3)by Sayan Biswas, Davide Frey, Romaric Gaudel, Anne-Marie Kermarrec, Dimitri Lerévérend, Rafael Pires, Rishi Sharma, and François Taïani
  • “Noiseless Privacy-Preserving Decentralized Learning” (in PoPETS Issue 1) by Sayan Biswas, Mathieu Even, Anne-Marie Kermarrec, Laurent Massoulie, Rafael Pires, Rishi Sharma, and Martijn de Vos

• “Boosting Asynchronous Decentralized Learning with Model Fragmentation” by Sayan Biswas, Anne-Marie Kermarrec, Alexis Marouani, Rafael Pires, Rishi Sharma, and Martijn de Vos was accepted at the 34th ACM Web Conference (TheWebConf/WWW 2025). This work has been selected for oral presentation at WWW 2025 (a small fraction of the top accepted papers are selected for oral presentation).

• “Fair Decentralized Learning” by Sayan Biswas, Anne-Marie Kermarrec, Rishi Sharma, Thibaud Trinca, and Martijn de Vos will appear at the 3rd IEEE Conference on Secure and Trustworthy Machine Learning (SaTML 2025) .

2024

• Prof. Anne-Marie Kermarrec has been appointed by French President Emmanuel Macron to the newly established Presidential Science Council, joining 11 other distinguished scientists from across all disciplines.

• Anastasiia Kucherenko successfully defended her PhD thesis.

• “Revisiting Ensembling in One-Shot Federated Learning” by Youssef Allouah, Akash Dhasade, Rachid Guerraoui, Nirupam Gupta, Anne-Marie Kermarrec, Rafael Pinot, Rafael Pires, and Rishi Sharma was accepted at NeurIPS 2024.

• “QuickDrop: Efficient Federated Unlearning via Synthetic Data Generation” by Akash Dhasade, Yaohong Ding, Song Guo, Anne-Marie Kermarrec, Martijn de Vos, and Leijie Wu was accepted at the 25th International Middleware Conference (MIDDLEWARE 2024).

• “Fairness Auditing with Multi-Agent Collaboration” by Martijn de Vos, Akash Dhasade, Jade Garcia Bourrée, Anne-Marie Kermarrec, Erwan Le Merrer, Benoit Rottembourg, and Gilles Tredan was accepted at the 27th European Conference on Artificial Intelligence (ECAI 2024).

• “PeerSwap: A Peer-Sampler with Randomness Guarantees” by Rachid Guerraoui, Anne-Marie Kermarrec, Anastasiia Kucherenko, Rafael Pinot, and Martijn de Vos was accepted at the 43rd International Symposium on Reliable Distributed Systems (SRDS 2025).