Search Results for author: Pierre Jobic

Found 1 papers, 0 papers with code

Federated Learning with Nonvacuous Generalisation Bounds

no code implementations17 Oct 2023 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 keeping secret its training dataset with respect to the other nodes.

Federated Learning

Cannot find the paper you are looking for? You can Submit a new open access paper.