Search Results for author: Long Tan Le

Found 3 papers, 0 papers with code

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 PCA on Grassmann Manifold for Anomaly Detection in IoT Networks

no code implementations23 Dec 2022 Tung-Anh Nguyen, Jiayu He, Long Tan Le, Wei Bao, Nguyen H. Tran

To the best of our knowledge, this is the first federated PCA algorithm for anomaly detection meeting the requirements of IoT networks.

Anomaly Detection Privacy Preserving

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

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