8 citations · 26 across the 29 of their papers we have counts for
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cs.CR2022★ 2 cited
FLock: Defending Malicious Behaviors in Federated Learning with Blockchain
Nanqing Dong, Jiahao Sun, Zhipeng Wang +2
Federated learning (FL) is a promising way to allow multiple data owners (clients) to collaboratively train machine learning models without compromising data privacy. Yet, existing…
cs.CR2022★ 8 cited
Edge Security: Challenges and Issues
Xin Jin, Charalampos Katsis, Fan Sang +3
Edge computing is a paradigm that shifts data processing services to the network edge, where data are generated. While such an architecture provides faster processing and response,…