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Defending Against Poisoning Attacks in Federated Learning with Strong Privacy Protection

Year: 2025

Type: conference-paper

Source: International Conference on Communications

DOI: 10.1109/icc52391.2025.11161309

Authors: Yunke Zhao, Jiachen Li, Min Ren, Zhenhua Hu, Jingcheng Zhao, Kaiping Xue

Institution: University of Science and Technology of China

Language: English

Topic: Privacy-Preserving Technologies in Data

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: closed

Funders: National Natural Science Foundation of China, Anhui Provincial Key Research and Development Plan

Awards: G2398330959, G6552684626

OpenAlex ID: W4414539298

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