This study delves into large PFMs adaptation in the resource-constrained federated learning environment, and proposes an innovative framework, namely ADRAP, which alternates between large model distillation and resource-adaptive pruning, with guaranteed convergence.
Xiao Zhang, Yang-Yang Wang, Xing-Yu Sun et al.· IEEE Transactions on Pattern...· 0 citations
PrivSynth is proposed, a framework that quantifies multiple privacy risks and integrates it into the control ob-jective, and achieves better utility and stronger privacy protection than state-of-the-art methods.
Xinyuan Zhao, Hanlin Gu, Gui-Bao Song et al.· 0 citations
This paper proposes a collaborative task allocation model for heterogeneous multi-UAV systems in missions with chain-structured task priorities and strict time constraints. The model considers key constraints, including UAV flight speed, task capability differences, execution limits, and ordered task dependencies, enab...
Kang Wang, Dong-Zhao Wang, Meng-Zhen Li et al.· IEEE Transactions on Automat...· 0 citations
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