Abstract: Federated Learning (FL) facilitates decentralized model training without the exchange of raw data, thereby guaranteeing privacy. However, due to its distributed nature, this paradigm is ...
Abstract: This article investigates the prescribed-time tracking synchronization (PTS) of high-dimensional heterogeneous Kuramoto oscillator networks on the unit sphere. Depending on whether the ...
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