Towards Federated Learning With Byzantine-Robust Client Weighting

1 code implementation • 10 Apr 2020 • 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 a central server.

Federated Learning