Federated Zeroth-Order Optimization using Trajectory-Informed Surrogate Gradients

Yao Shu, Xiaoqiang Lin, Zhongxiang Dai +1

Federated optimization, an emerging paradigm which finds wide real-world applications such as federated learning, enables multiple clients (e.g., edge devices) to collaboratively o…