PBFL: Privacy-Preserving and Byzantine-Robust Federated Learning Empowered Industry 4.0-Reference-Cited by-同舟云学术

PBFL: Privacy-Preserving and Byzantine-Robust Federated Learning Empowered Industry 4.0

Author:

Li Wenjie¹^ORCID,Fan Kai¹^ORCID,Yang Kan²^ORCID,Yang Yintang³^ORCID,Li Hui¹^ORCID

Affiliation:

1. State Key Laboratory of Integrated Service Networks, Xidian University, Xi’an, China

2. Department of Computer Science, University of Memphis, Memphis, TN, USA

3. Key Laboratory of the Ministry of Education for Wide BandGap Semiconductor Materials and Devices, Xidian University, Xi’an, China

Funder

National Natural Science Foundation of China

Shaanxi Innovation Team Project

Open Fund of Advanced Cryptography and System Security Key Laboratory of Sichuan Province

Key Research and Development Projects of Shaanxi Province

National 111 Program of China

Pionee and Leading Goose R&D Program of Zhejiang

Natural Science Foundation of Shaanxi Province

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Networks and Communications,Computer Science Applications,Hardware and Architecture,Information Systems,Signal Processing

Link

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