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

Robert Hönig, Yiren Zhao, Robert Mullins

Federated Learning (FL) is a powerful technique for training a model on a server with data from several clients in a privacy-preserving manner. In FL, a server sends the model to e…