Towards Federated Learning on Time-Evolving Heterogeneous Data

Yongxin Guo, Tao Lin, Xiaoying Tang

Federated Learning (FL) is a learning paradigm that protects privacy by keeping client data on edge devices. However, optimizing FL in practice can be difficult due to the diversit…