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math.OC2026
UGM: A Unified Framework and New Perspectives for Accelerated Gradient Methods in Smooth and Strongly Convex Optimization
Danqing Zhou, Shiqian Ma, Junfeng Yang
In this paper, we propose a unified framework for accelerated gradient methods, dubbed UGM, which subsumes a wide range of accelerated and conventional gradient-type methods design…
math.OC2026
SLDBO: A Snapshot Single-Loop Algorithm for Decentralized Bilevel Optimization
Chao Yin, Youran Dong, Shiqian Ma +2
Networked AI systems increasingly rely on multiple agents that collaboratively learn and adapt models over communication networks. In such systems, bilevel formulations naturally a…