Work

PriFairFed: A Local Differentially Private Federated Learning Algorithm for Client-Level Fairness

Year: 2024

Type: article

Source: IEEE Transactions on Mobile Computing

DOI: 10.1109/tmc.2024.3516813

Authors: Chuang Hu, Nanxi Wu, Siping Shi, Xuan Liu, Bing Luo, Kanye Ye Wang, Jiawei Jiang, Dazhao Cheng

Institutions: University of Macau, Wuhan University, Hong Kong Polytechnic University, Duke Kunshan University

Language: English

Topic: Privacy-Preserving Technologies in Data

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

SDG: Reduced inequalities

Open Access status: closed

Funders: Ministry of Education, Libya, National Natural Science Foundation of China

Awards: G303100565, G3830727860, G6189886122

OpenAlex ID: W4405351293

FWCI: 0.442

Cites: 59

Cited by: 3

Related to: 10