Infosecurity has selected five of the most significant vulnerability exploitation campaigns of 2025 that led to major ...
Abstract: We study the dynamic joint service function chain (SFC) embedding problem in a network function virtualization (NFV)-enabled edge cloud network. Our design goal is to optimize the network ...
Asynchronous Federated Learning with non-convex client objective functions and heterogeneous dataset
Abstract: Federated Learning is a distributed machine learning paradigm that enables model training across decentralized devices holding local data, thereby preserving data privacy and reducing the ...
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