PoisonGAN: Generative Poisoning Attacks Against Federated Learning in Edge Computing Systems-Reference-Cited by-同舟云学术

PoisonGAN: Generative Poisoning Attacks Against Federated Learning in Edge Computing Systems

Author:

Zhang Jiale¹^ORCID,Chen Bing¹^ORCID,Cheng Xiang¹,Binh Huynh Thi Thanh²^ORCID,Yu Shui³^ORCID

Affiliation:

1. College of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing, China

2. School of Information and Communication Technology, Hanoi University of Science and Technology, Hanoi, Vietnam

3. School of Computer Science, University of Technology Sydney, Sydney, NSW, Australia

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

Science and Technology on Avionics Integration Laboratory and the National Aeronautical Science Foundation of China

Postgraduate Research and Practice Innovation Program of Jiangsu 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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3. FLAMINGO: Adaptive and Resilient Federated Meta-Learning against Adversarial Attacks;2024 IEEE 44th International Conference on Distributed Computing Systems Workshops (ICDCSW);2024-07-23