Work

Privacy-Preserving and Top-K Sparsified Federated Learning with Low Communication Overhead

Year: 2025

Type: conference-paper

Source: International Conference on Communications

DOI: 10.1109/icc52391.2025.11161487

Authors: Jiachen Li, Yunke Zhao, Jingcheng Zhao, Yaxuan Huang, 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

OpenAlex ID: W4414539253

FWCI: 3.017

Cites: 12

Cited by: 3

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