1 citations · 4 across the 10 of their papers we have counts for
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Distributed stochastic proximal algorithm with random reshuffling for non-smooth finite-sum optimization
Xia Jiang, Xianlin Zeng, Jian Sun +2
The non-smooth finite-sum minimization is a fundamental problem in machine learning. This paper develops a distributed stochastic proximal-gradient algorithm with random reshufflin…
Distributed stochastic gradient tracking algorithm with variance reduction for non-convex optimization
Xia Jiang, Xianlin Zeng, Jian Sun +1
This paper proposes a distributed stochastic algorithm with variance reduction for general smooth non-convex finite-sum optimization, which has wide applications in signal processi…
Distributed synchronous and asynchronous algorithms for semi-definite programming with diagonal constraints
Xia Jiang, Xianlin Zeng, Jian Sun +1
This paper develops distributed synchronous and asynchronous algorithms for the large-scale semi-definite programming with diagonal constraints, which has wide applications in comb…
Distributed proximal gradient algorithm for non-smooth non-convex optimization over time-varying networks
Xia Jiang, Xianlin Zeng, Jian Sun +1
This note studies the distributed non-convex optimization problem with non-smooth regularization, which has wide applications in decentralized learning, estimation and control. The…