Towards Federated Learning With Byzantine-Robust Client Weighting

Amit Portnoy, Yoav Tirosh, Danny Hendler

Federated Learning (FL) is a distributed machine learning paradigm where data is distributed among clients who collaboratively train a model in a computation process coordinated by…