2 citations · 2 across the 1 of their papers we have counts for
9 papers
Innovation Compression for Communication-efficient Distributed Optimization with Linear Convergence
Jiaqi Zhang, Keyou You, Lihua Xie
Information compression is essential to reduce communication cost in distributed optimization over peer-to-peer networks. This paper proposes a communication-efficient linearly con…
Networked Aggregative Games with Linear Convergence
Rongping Zhu, Jiaqi Zhang, Keyou You
This paper considers a networked aggregative game (NAG) where the players are distributed over a communication network. By only communicating with a subset of players, the goal of…
Asynchronous Networked Aggregative Games
Rongping Zhu, Jiaqi Zhang, Keyou You +1
We propose a fully asynchronous networked aggregative game (Asy-NAG) where each player minimizes a cost function that depends on its local action and the aggregate of all players'…
Fully Asynchronous Policy Evaluation in Distributed Reinforcement Learning over Networks
Xingyu Sha, Jiaqi Zhang, Keyou You +2
This paper proposes a \emph{fully asynchronous} scheme for the policy evaluation problem of distributed reinforcement learning (DisRL) over directed peer-to-peer networks. Without…
Distributed Dual Gradient Tracking for Resource Allocation in Unbalanced Networks
Jiaqi Zhang, Keyou You, Kai Cai
This paper proposes a distributed dual gradient tracking algorithm (DDGT) to solve resource allocation problems over an unbalanced network, where each node in the network holds a p…
Decentralized Stochastic Gradient Tracking for Non-convex Empirical Risk Minimization
Jiaqi Zhang, Keyou You
This paper studies a decentralized stochastic gradient tracking (DSGT) algorithm for non-convex empirical risk minimization problems over a peer-to-peer network of nodes, which is…