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Stochastic Constrained Decentralized Optimization for Machine Learning
  with Fewer Data Oracles: a Gradient Sliding Approach

Stochastic Constrained Decentralized Optimization for Machine Learning with Fewer Data Oracles: a Gradient Sliding Approach

3 April 2024
Hoang Huy Nguyen
Yan Li
Tuo Zhao
ArXivPDFHTML

Papers citing "Stochastic Constrained Decentralized Optimization for Machine Learning with Fewer Data Oracles: a Gradient Sliding Approach"

2 / 2 papers shown
Title
On Partial Optimal Transport: Revising the Infeasibility of Sinkhorn and
  Efficient Gradient Methods
On Partial Optimal Transport: Revising the Infeasibility of Sinkhorn and Efficient Gradient Methods
Anh Duc Nguyen
Tuan Dung Nguyen
Quang Minh Nguyen
Hoang H. Nguyen
Lam M. Nguyen
Kim-Chuan Toh
OT
35
2
0
21 Dec 2023
Decentralized Frank-Wolfe Algorithm for Convex and Non-convex Problems
Decentralized Frank-Wolfe Algorithm for Convex and Non-convex Problems
Hoi-To Wai
Jean Lafond
Anna Scaglione
Eric Moulines
69
89
0
05 Dec 2016
1