FedRandom: Sampling Consistent and Accurate Contribution Values in Federated Learning

Arno Geimer, Beltran Fiz Pontiveros, Radu State

Federated Learning is a privacy-preserving decentralized approach for Machine Learning tasks. In industry deployments characterized by a limited number of entities possessing abund…