12 citations · 12 across the 3 of their papers we have counts for
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math.OC2023
A Proximal Gradient Method With Probabilistic Multi-Gossip Communications for Decentralized Composite Optimization
Luyao Guo, Luqing Wang, Xinli Shi +1
Decentralized optimization methods with local updates have recently gained attention for their provable ability to communication acceleration. In these methods, nodes perform sever…
math.OC2023★ 12 cited
Fixed-Time Gradient Flows for Solving Constrained Optimization: A Unified Approach
Xinli Shi, Xiangping Xu, Guanghui Wen +1
The accelerated method in solving optimization problems has always been an absorbing topic. Based on the fixed-time (FxT) stability of nonlinear dynamical systems, we provide a uni…
math.OC2023
Multi/Single-stage structured zero-gradient-sum approach for prescribed-time optimization
Shuaiyu Zhou, Yiheng Wei, Jinde Cao +1
Prescribed-time convergence mechanism has become a prominent research focus in the current field of optimization and control due to its ability to precisely control the target comp…