Search Results for author: Tuan Dung Nguyen

Found 7 papers, 2 papers with code

Personalized Federated Learning with Moreau Envelopes

4 code implementations NeurIPS 2020 Canh T. Dinh, Nguyen H. Tran, Tuan Dung Nguyen

Federated learning (FL) is a decentralized and privacy-preserving machine learning technique in which a group of clients collaborate with a server to learn a global model without sharing clients' data.

Meta-Learning Model Optimization +3

DONE: Distributed Approximate Newton-type Method for Federated Edge Learning

2 code implementations10 Dec 2020 Canh T. Dinh, Nguyen H. Tran, Tuan Dung Nguyen, Wei Bao, Amir Rezaei Balef, Bing B. Zhou, Albert Y. Zomaya

In this work, we propose DONE, a distributed approximate Newton-type algorithm with fast convergence rate for communication-efficient federated edge learning.

Edge-computing Vocal Bursts Type Prediction

On the Generalization of Wasserstein Robust Federated Learning

no code implementations3 Jun 2022 Tung-Anh Nguyen, Tuan Dung Nguyen, Long Tan Le, Canh T. Dinh, Nguyen H. Tran

We show that the robustness of WAFL is more general than related approaches, and the generalization bound is robust to all adversarial distributions inside the Wasserstein ball (ambiguity set).

Domain Adaptation Federated Learning

Federated Deep Equilibrium Learning: A Compact Shared Representation for Edge Communication Efficiency

no code implementations27 Sep 2023 Long Tan Le, Tuan Dung Nguyen, Tung-Anh Nguyen, Choong Seon Hong, Nguyen H. Tran

Federated Learning (FL) is a prominent distributed learning paradigm facilitating collaboration among nodes within an edge network to co-train a global model without centralizing data.

Federated Learning

On Partial Optimal Transport: Revising the Infeasibility of Sinkhorn and Efficient Gradient Methods

no code implementations21 Dec 2023 Anh Duc Nguyen, Tuan Dung Nguyen, Quang Minh Nguyen, Hoang H. Nguyen, Lam M. Nguyen, Kim-Chuan Toh

This paper studies the Partial Optimal Transport (POT) problem between two unbalanced measures with at most $n$ supports and its applications in various AI tasks such as color transfer or domain adaptation.

Domain Adaptation Point Cloud Registration

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