Xinmeng Huang

A Mathematics-Inspired Learning-to-Optimize Framework for Decentralized Optimization

Stochastic Controlled Averaging for Federated Learning with Communication Compression

One-Shot Safety Alignment for Large Language Models via Optimal Dualization

Momentum Benefits Non-iid Federated Learning Simply and Provably

SPARKLE: A Unified Single-Loop Primal-Dual Framework for Decentralized Bilevel Optimization