FedDA: Faster Framework of Local Adaptive Gradient Methods via Restarted Dual Averaging

Junyi Li, Feihu Huang, Heng Huang

Federated learning (FL) is an emerging learning paradigm to tackle massively distributed data. In Federated Learning, a set of clients jointly perform a machine learning task under…