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- research-articleFebruary 2025
Toward data efficient anomaly detection in heterogeneous edge–cloud environments using clustered federated learning
Future Generation Computer Systems (FGCS), Volume 164, Issue Chttps://doi.org/10.1016/j.future.2024.107559AbstractAnomaly detection in edge–cloud scenarios stands as a critical means to ensure the security of network environment. Federated learning (FL)-based anomaly detection combines multiple data sources and ensures data privacy, making it a promising ...
Highlights- An iterative federated clustering ensemble algorithm (IFCEA) for edge–cloud anomaly detection environments.
- Client selection method and aggregation weights designed for the FL-based anomaly detection system.
- A cluster ...
- review-articleFebruary 2025
A Survey of Edge Caching Security: Framework, Methods, and Challenges
Journal of Systems Architecture: the EUROMICRO Journal (JOSA), Volume 158, Issue Chttps://doi.org/10.1016/j.sysarc.2024.103306AbstractEdge caching reduces the frequent communication between users and remote cloud servers by caching popular content at the network edge, which can decrease response latency and improve the user service experience. However, the openness and ...