PDGAN: A novel poisoning defense method in federated learning using generative adversarial network
Conference or Workshop item
Zhao, Ying, Chen, Junjun, Zhang, Jiale, Wu, D., Teng, Jian and Yu, Shui. "PDGAN: A novel poisoning defense method in federated learning using generative adversarial network." 19th International Conference on Algorithms and Architectures for Parallel Processing (ICA3PP 2019). Melbourne, Australia 09 - 11 Dec 2019
Paper/Presentation Title | PDGAN: A novel poisoning defense method in federated learning using generative adversarial network |
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Authors | Zhao, Ying, Chen, Junjun, Zhang, Jiale, Wu, D., Teng, Jian and Yu, Shui |
Journal or Proceedings Title | Algorithms and Architectures for Parallel Processing: 19th International Conference, ICA3PP 2019, Melbourne, VIC, Australia, December 9–11, 2019, Proceedings, Part I 19 |
Number of Pages | 595-609 |
Conference/Event | 19th International Conference on Algorithms and Architectures for Parallel Processing (ICA3PP 2019) |
Event Details | 19th International Conference on Algorithms and Architectures for Parallel Processing (ICA3PP 2019) Parent International Conference on Algorithms and Architectures for Parallel Processing Delivery In person Event Date 09 to end of 11 Dec 2019 Event Location Melbourne, Australia |
ANZSRC Field of Research 2020 | 4604. Cybersecurity and privacy |
4602. Artificial intelligence | |
Byline Affiliations | School of Mathematics, Physics and Computing |
Centre for Future Materials |
Permalink -
https://research.usq.edu.au/item/z4y19/pdgan-a-novel-poisoning-defense-method-in-federated-learning-using-generative-adversarial-network
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