design of FedLab focuses on federated learning algorithm effectiveness and communication
efficiency. It allows customization on server optimization, client optimization, communication
agreement, and communication compression. Also, FedLab is scalable in different
deployment scenarios with different computation and communication resources. We hope
FedLab could provide flexible APIs as well as reliable baseline implementations and relieve …