Anne-Marie Kermarrec

École Polytechnique Fédérale de Lausanne — Switzerland

Computer Science · Physical Sciences

48h-index16.3kcitations416works1.22yr avg
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Research Topics

Peer-to-Peer Network Technologies(160), Caching and Content Delivery(132), Distributed systems and fault tolerance(83), Privacy-Preserving Technologies in Data(58), Opportunistic and Delay-Tolerant Networks(48)

Publications416 total

Robust Federated Inference
arXiv (Cornell University)·2025Open Access
Practical and Private Hybrid ML Inference with Fully Homomorphic Encryption
arXiv (Cornell University)·2025Open Access
Efficient Pyramidal Analysis of Gigapixel Images on a Decentralized Modest Computer Cluster
Lecture notes in computer science·2025Open Access
HarMoEny: Efficient Multi-GPU Inference of MoE Models
arXiv (Cornell University)·2025Open Access
Boosting Resource-Constrained Federated Learning Systems With Guessed Updates
IEEE Transactions on Parallel and Distributed Systems·2025· 1 citedOpen Access
Collaborative Agentic AI Needs Interoperability Across Ecosystems
arXiv (Cornell University)·2025Open Access
Low-Cost Privacy-Preserving Decentralized Learning
Proceedings on Privacy Enhancing Technologies·2025· 1 citedOpen Access
Robust ML Auditing using Prior Knowledge
arXiv (Cornell University)·2025Open Access
Boosting Asynchronous Decentralized Learning with Model Fragmentation
2025· 2 citedOpen Access
Fair Decentralized Learning
2025· 1 cited
Leveraging Approximate Caching for Faster Retrieval-Augmented Generation
2025· 3 citedOpen Access
Harnessing Increased Client Participation with Cohort-Parallel Federated Learning
2025Open Access
Efficient Federated Search for Retrieval-Augmented Generation
2025· 5 cited
Accelerating MoE Model Inference with Expert Sharding
2025Open Access
Practical Federated Learning without a Server
2025· 1 citedOpen Access
Efficient Federated Search for Retrieval-Augmented Generation
arXiv (Cornell University)·2025Open Access
Fast In-Spectrum Graph Watermarks
arXiv (Cornell University)·2025Open Access
QuickDrop: Efficient Federated Unlearning via Synthetic Data Generation
2024· 5 citedOpen Access
Revisiting Ensembling in One-Shot Federated Learning
arXiv (Cornell University)·2024· 1 citedOpen Access
Noiseless Privacy-Preserving Decentralized Learning
Proceedings on Privacy Enhancing Technologies·2024· 4 citedOpen Access
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Frequent Co-authors

Rachid Guerraoui(13), Laurent Massoulié(12), Antony Rowstron(10), Peter Druschel(9), Miguel Castro(8), Ayalvadi Ganesh(7), Sidath Handurukande(6), Patrick Eugster(5), Maarten van Steen(5), Fabrice Le Fessant(4), Davide Frey(4), Animesh Nandi(3), Atul Singh(3), Márk Jelasity(3), Spyros Voulgaris(3), Erwan Le Merrer(3), Nicolas Le Scouarnec(3), Petr Kouznetsov(2), Étienne Rivière(2), Gilles Straub(2)