Performance Weighting for Robust Federated Learning Against Corrupted Sources

Dimitris Stripelis, Marcin Abram, Jose Luis Ambite

Federated Learning has emerged as a dominant computational paradigm for distributed machine learning. Its unique data privacy properties allow us to collaboratively train models wh…