2 papers
cs.CR2024
Fantastyc: Blockchain-based Federated Learning Made Secure and Practical
William Boitier, Antonella Del Pozzo, Álvaro García-Pérez +9
Federated Learning is a decentralized framework that enables multiple clients to collaboratively train a machine learning model under the orchestration of a central server without…
cs.LG2023
Federated Learning with Nonvacuous Generalisation Bounds
Pierre Jobic, Maxime Haddouche, Benjamin Guedj
We introduce a novel strategy to train randomised predictors in federated learning, where each node of the network aims at preserving its privacy by releasing a local predictor but…