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Quoc Tran-Dinh
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Extragradient-Type Methods with $\mathcal{O}(1/k)$ Convergence Rates for Co-Hypomonotone Inclusions


Feb 08, 2023
Quoc Tran-Dinh

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* 26 pages 
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Accelerated Randomized Block-Coordinate Algorithms for Co-coercive Equations and Applications


Jan 08, 2023
Quoc Tran-Dinh

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* 24 pages 
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Gradient Descent-Type Methods: Background and Simple Unified Convergence Analysis


Dec 19, 2022
Quoc Tran-Dinh, Marten van Dijk

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* 24 pages, a book chapter 
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Halpern-Type Accelerated and Splitting Algorithms For Monotone Inclusions


Oct 15, 2021
Quoc Tran-Dinh, Yang Luo

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* 33 pages 
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Federated Learning with Randomized Douglas-Rachford Splitting Methods


Mar 05, 2021
Nhan H. Pham, Lam M. Nguyen, Dzung T. Phan, Quoc Tran-Dinh

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Shuffling Gradient-Based Methods with Momentum


Nov 24, 2020
Trang H. Tran, Lam M. Nguyen, Quoc Tran-Dinh

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Convergence Analysis of Homotopy-SGD for non-convex optimization


Nov 20, 2020
Matilde Gargiani, Andrea Zanelli, Quoc Tran-Dinh, Moritz Diehl, Frank Hutter

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* 21 pages, 14 figures, technical report 
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Hogwild! over Distributed Local Data Sets with Linearly Increasing Mini-Batch Sizes


Oct 27, 2020
Marten van Dijk, Nhuong V. Nguyen, Toan N. Nguyen, Lam M. Nguyen, Quoc Tran-Dinh, Phuong Ha Nguyen

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* arXiv admin note: substantial text overlap with arXiv:2007.09208 
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An Optimal Hybrid Variance-Reduced Algorithm for Stochastic Composite Nonconvex Optimization


Aug 20, 2020
Deyi Liu, Lam M. Nguyen, Quoc Tran-Dinh

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* 6 pages 
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Asynchronous Federated Learning with Reduced Number of Rounds and with Differential Privacy from Less Aggregated Gaussian Noise


Jul 17, 2020
Marten van Dijk, Nhuong V. Nguyen, Toan N. Nguyen, Lam M. Nguyen, Quoc Tran-Dinh, Phuong Ha Nguyen

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