Rohan Panda

Federated Minimax Optimization: Improved Convergence Analyses and Algorithms

In this paper, we consider nonconvex minimax optimization, which is gaining prominence in many modern machine learning applications, such as GANs. Large-scale edge-based collection of training data in these applications calls for communication-efficient distributed optimization algorithms, such as t…