Yuyang Qiu

Zeroth-Order Methods for Nondifferentiable, Nonconvex, and Hierarchical Federated Optimization

Federated learning (FL) has emerged as an enabling framework for communication-efficient decentralized training. We study three broadly applicable problem classes in FL: (i) Nondifferentiable nonconvex federated optimization; (ii) Federated bilevel optimization; (iii) Federated minimax problems. Not…