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cs.CR2024
Efficient Byzantine-Robust and Provably Privacy-Preserving Federated Learning
Chenfei Nie, Qiang Li, Yuxin Yang +2
Federated learning (FL) is an emerging distributed learning paradigm without sharing participating clients' private data. However, existing works show that FL is vulnerable to both…
cs.CR2022
Effective Anomaly Detection in Smart Home by Integrating Event Time Intervals
Chenxu Jiang, Chenglong Fu, Zhenyu Zhao +2
Smart home IoT systems and devices are susceptible to attacks and malfunctions. As a result, users' concerns about their security and safety issues arise along with the prevalence…