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Byzantine-Robust and Communication-Efficient Personalized Federated Learning

Year: 2023

Type: conference-paper

Source: IEEE International Conference on Acoustics Speech and Signal Processing

DOI: 10.1109/icassp49357.2023.10095468

Authors: Xuechao He, Jiaojiao Zhang, Qing Ling

Institutions: Sun Yat-sen University, KTH Royal Institute of Technology

Language: English

Topic: Privacy-Preserving Technologies in Data

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: closed

OpenAlex ID: W4375868952

FWCI: 1.587

Cites: 27

Cited by: 10

Related to: 10