FedHome: Cloud-Edge Based Personalized Federated Learning for In-Home Health Monitoring
Wu, Qiong, Chen, Xu, Zhou, Zhi, Zhang, Junshan·2022·IEEE Transactions on Mobile Computing
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- Privacy computing using deep compression learning techniques for neural decodingHuining Li, Huan Chen, Chenhan Xu, Anarghya Das, Xingyu Chen, Zhengxiong Li, Jian Tan Xiao, Ming-Chun Huang, Wenyao Xu · 2021 · Smart Health
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- Secure Digital Health Data Transmission in Healthcare Industry 4.0—An OverviewDhivya Ravichandran, W. Sylvia Lilly Jebarani, A R Gopinath, Chanthini Baskar, Rengarajan Amirtharajan · 2025
- Real-Time Surveillance Video Analytics: A Survey on the Computing InfrastructuresD Aishwarya, R. I. Minu · 2022 · Lecture notes in networks and systems
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- Federated Edge Learning with Blurred or Pseudo Data SharingYinlong Li, Hao Zhang, Siyao Cheng, Jie Liu · 2024 · Proceedings of the International Conference on Parallel Processing
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- Human–Machine Hybrid Federated Learning: Concept and ApplicationsQingyang Li, Qianru Wang, Jiangtao Cui · 2025 · IEEE Internet of Things Journal
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