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math.OC2025
DeMuon: A Decentralized Muon for Matrix Optimization over Graphs
Chuan He, Shuyi Ren, Jingwei Mao +1
In this paper, we propose DeMuon, a method for decentralized matrix optimization over a given communication topology. DeMuon incorporates matrix orthogonalization via Newton-Schulz…
math.OC2025
Faster stochastic cubic regularized Newton methods with momentum
Yiming Yang, Chuan He, Xiao Wang +1
Cubic regularized Newton (CRN) methods have attracted signiffcant research interest because they offer stronger solution guarantees and lower iteration complexity. With the rise of…