This paper investigates joint trajectory planning and computation offloading in multi-UAV assisted mobile edge computing (MEC) networks within complex 3D urban environments. Existing deep multi-agent reinforcement learning (MARL) methods often oversimplify obstacles as geometric no-fly zones, ignoring fine-grained chan...
Bo-Wen Zhao, Zhe Zheng, Jia-Xiang Geng et al.· IEEE International Symposium...· 0 citations
L-shaped SFT is presented, a split fine-tuning framework that removes the need for continuous client participation and introduces one-shot SFT, in which clients upload activations once and then go offline while the server continues optimization over cached representations.
FlexP-SFT is proposed, a novel aggregation-free framework for personalized split federated fine-tuning, which fundamentally eliminates the client-side aggregation process and introduces a layer-flexible alignment strategy to balance personalization and generalization capabilities.
Jiaxiang Geng, Tianjun Yuan, Pengchao Han et al.· 3 citations
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