6 citations · 9 across the 3 of their papers we have counts for
4 papers
Communication-Efficient Topologies for Decentralized Learning with Consensus Rate
Zhuoqing Song, Weijian Li, Kexin Jin +4
Decentralized optimization is an emerging paradigm in distributed learning in which agents achieve network-wide solutions by peer-to-peer communication without the central server.…
Distributed Mirror Descent Algorithm with Bregman Damping for Nonsmooth Constrained Optimization
Guanpu Chen, Weijian Li, Gehui Xu +1
To solve distributed optimization efficiently with various constraints and nonsmooth functions, we propose a distributed mirror descent algorithm with embedded Bregman damping, as…
Convergence Properties of the Distributed Projected Subgradient Algorithm over General Graphs
Weijian Li, Zihan Chen, Youcheng Lou +1
In this paper, we revisit a well-known distributed projected subgradient algorithm which aims to minimize a sum of cost functions with a common set constraint. In contrast to most…
Exponentially Convergent Algorithm Design for Constrained Distributed Optimization via Non-smooth Approach
Weijian Li, Xianlin Zeng, Shu Liang +1
We consider minimizing a sum of non-smooth objective functions with set constraints in a distributed manner. As to this problem, we propose a distributed algorithm with an exponent…