Zhang, Zaixi, Cao, Xiaoyu, Jia, Jinyuan, and Gong, Neil Zhenqiang. FLDetector: Defending Federated Learning Against Model Poisoning Attacks via Detecting Malicious Clients. Retrieved from https://par.nsf.gov/biblio/10357274. The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining . Web. doi:10.1145/3534678.3539231.
Zhang, Zaixi, Cao, Xiaoyu, Jia, Jinyuan, & Gong, Neil Zhenqiang. FLDetector: Defending Federated Learning Against Model Poisoning Attacks via Detecting Malicious Clients. The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, (). Retrieved from https://par.nsf.gov/biblio/10357274. https://doi.org/10.1145/3534678.3539231
Zhang, Zaixi, Cao, Xiaoyu, Jia, Jinyuan, and Gong, Neil Zhenqiang.
"FLDetector: Defending Federated Learning Against Model Poisoning Attacks via Detecting Malicious Clients". The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (). Country unknown/Code not available. https://doi.org/10.1145/3534678.3539231.https://par.nsf.gov/biblio/10357274.
@article{osti_10357274,
place = {Country unknown/Code not available},
title = {FLDetector: Defending Federated Learning Against Model Poisoning Attacks via Detecting Malicious Clients},
url = {https://par.nsf.gov/biblio/10357274},
DOI = {10.1145/3534678.3539231},
abstractNote = {},
journal = {The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining},
author = {Zhang, Zaixi and Cao, Xiaoyu and Jia, Jinyuan and Gong, Neil Zhenqiang},
}
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