2 citations · 3 across the 4 of their papers we have counts for
3 papers · 1 filter
Handling Delayed Feedback in Distributed Online Optimization : A Projection-Free Approach
Tuan-Anh Nguyen, Nguyen Kim Thang, Denis Trystram
Learning at the edges has become increasingly important as large quantities of data are continually generated locally. Among others, this paradigm requires algorithms that are simp…
One Gradient Frank-Wolfe for Decentralized Online Convex and Submodular Optimization
Tuan-Anh Nguyen, Nguyen Kim Thang, Denis Trystram
Decentralized learning has been studied intensively in recent years motivated by its wide applications in the context of federated learning. The majority of previous research focus…
Online Decentralized Frank-Wolfe: From theoretical bound to applications in smart-building
Angan Mitra, Nguyen Kim Thang, Tuan-Anh Nguyen +2
The design of decentralized learning algorithms is important in the fast-growing world in which data are distributed over participants with limited local computation resources and…