29 citations · 75 across the 10 of their papers we have counts for
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cs.LG2025
Unified Privacy Guarantees for Decentralized Learning via Matrix Factorization
Aurélien Bellet, Edwige Cyffers, Davide Frey +3
Decentralized Learning (DL) enables users to collaboratively train models without sharing raw data by iteratively averaging local updates with neighbors in a network graph. This se…
cs.LG2020★ 29 cited
FLeet: Online Federated Learning via Staleness Awareness and Performance Prediction
Georgios Damaskinos, Rachid Guerraoui, Anne-Marie Kermarrec +3
Federated Learning (FL) is very appealing for its privacy benefits: essentially, a global model is trained with updates computed on mobile devices while keeping the data of users l…