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math.OC2025
Historical Information Accelerates Decentralized Optimization: A Proximal Bundle Method
Zhao Zhu, Yu-Ping Tian, Xuyang Wu
Historical information, such as past function values or gradients, has significant potential to enhance decentralized optimization methods for two key reasons: first, it provides r…
math.OC2025
A Unified Dual Consensus Approach to Distributed Optimization with Globally-Coupled Constraints
Zixuan Liu, Xuyang Wu, Dandan Wang +1
This article explores distributed convex optimization with globally-coupled constraints, where the objective function is a general nonsmooth convex function, the constraints includ…