FedNDA: Enhancing Federated Learning with Noisy Client Detection and Robust Aggregation

Kieu, Tuan Dung and Fonbonne, Charles and Tran, Trung-Kien and Le, Thi-Lan and Vu, Hai and Nguyen, Huu-Thanh and Tran, Thanh-Hai (2025) FedNDA: Enhancing Federated Learning with Noisy Client Detection and Robust Aggregation. EAI Endorsed Transactions on Industrial Networks and Intelligent Systems.

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Abstract

Federated Learning is a novel decentralized methodology that enables multiple clients to collaboratively train a global model while preserving the privacy of their local data. Although federated learning enhances data privacy, it faces challenges related to data quality and client behavior. A fundam

Item Type: Article
Date Deposited: 04 Mar 2026 20:13
Last Modified: 10 Apr 2026 18:20
URI: http://eprints.eai.eu/id/eprint/59824

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