2 citations · 3 across the 9 of their papers we have counts for
5 papers · 1 filter
An Analysis Tool for Push-Sum Based Distributed Optimization
Yixuan Lin, Ji Liu
The push-sum algorithm is probably the most important distributed averaging approach over directed graphs, which has been applied to various problems including distributed optimiza…
Heterogeneous Distributed Subgradient
Yixuan Lin, Ji Liu
The paper proposes a heterogeneous push-sum based subgradient algorithm for multi-agent distributed convex optimization in which each agent can arbitrarily switch between subgradie…
Resilient Distributed Optimization
Jingxuan Zhu, Yixuan Lin, Alvaro Velasquez +1
This paper considers a distributed optimization problem in the presence of Byzantine agents capable of introducing untrustworthy information into the communication network. A resil…
Reaching a Consensus with Limited Information
Jingxuan Zhu, Yixuan Lin, Ji Liu +1
In its simplest form the well known consensus problem for a networked family of autonomous agents is to devise a set of protocols or update rules, one for each agent, which can ena…
Subgradient-Push Is of the Optimal Convergence Rate
Yixuan Lin, Ji Liu
The push-sum based subgradient is an important method for distributed convex optimization over unbalanced directed graphs, which is known to converge at a rate of $O(\ln t/\sqrt{t}…