Work

NAAFL: A Non-Authoritative Anarchic Federated Learning for Defending Against Malicious Attacks

Year: 2025

Type: article

Source: IEEE Transactions on Sustainable Computing

DOI: 10.1109/tsusc.2025.3605384

Authors: Ruihong Xiu, Junqing Le, Di Zhang, Qingguo Lü, Tao Xiang, Xiaofeng Liao

Institution: Chongqing University

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, China Postdoctoral Science Foundation, Natural Science Foundation of Chongqing, Fundamental Research Funds for the Central Universities

Awards: G2160022881, 移动社会媒体大数据共享交换中的隐私保护研究, G2544288821, G6150497912, G6734358560, G6781967291, G7904607317

OpenAlex ID: W4413925537

FWCI: 0.412

Cites: 59

Cited by: 1

Related to: 10