DAdaQuant: Doubly-adaptive quantization for communication-efficient Federated Learning

Robert Hönig, Yiren Zhao, Robert D. Mullins

Abstract: Federated Learning (FL) is a powerful technique to train a model on a server with data from several clients in a privacy-preserving manner. FL incurs significant communication costs because it repe...