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math.OC2023
Communication Efficient Distributed Newton Method with Fast Convergence Rates
Chengchang Liu, Lesi Chen, Luo Luo +1
We propose a communication and computation efficient second-order method for distributed optimization. For each iteration, our method only requires communication c…
math.OC2023★ 1 cited
Symmetric Rank- Methods
Chengchang Liu, Cheng Chen, Luo Luo
This paper proposes a novel class of block quasi-Newton methods for convex optimization which we call symmetric rank- (SR-) methods. Each iteration of SR- incorporates the…