2021
Distributed Zero-Order Optimization under Adversarial Noise
NeurIPS 2021poster
We study the problem of distributed zero-order optimization for a class of strongly convex functions. They are formed by the average of local objectives, associated to different nodes in a prescribed network. We propose a distributed zero-order projected gradient descent algorithm to solve the probl…