1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.LG2026
Accelerating Decentralized Optimization via Overlapping Local Steps
Yijie Zhou, Shi Pu
Decentralized optimization has emerged as a critical paradigm for distributed learning, enabling scalable training while preserving data privacy through peer-to-peer collaboration.…
cs.LG2025
Asynchronous Decentralized SGD under Non-Convexity: A Block-Coordinate Descent Framework
Yijie Zhou, Shi Pu
Decentralized optimization has become vital for leveraging distributed data without central control, enhancing scalability and privacy. However, practical deployments face fundamen…
math.OC2024★ 1 cited
A Robust Compressed Push-Pull Method for Decentralized Nonconvex Optimization
Yiwei Liao, Zhuorui Li, Shi Pu +1
In the modern paradigm of multi-agent networks, communication has become one of the main bottlenecks for decentralized optimization, where a large number of agents are involved in…