A backbone-head separation plus gradient-norm device scheduling for UAV-assisted personalized FL yields higher accuracy and lower UAV energy use than prior methods in simulations.
Quantization-aware collaborative inference for large embodied AI models
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A survey consolidating research on edge perception by examining sensing modalities, edge AI, their synergies, task-driven designs, and open challenges for 6G networks.
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Personalized Federated Learning by Energy-Efficient UAV Communications
A backbone-head separation plus gradient-norm device scheduling for UAV-assisted personalized FL yields higher accuracy and lower UAV energy use than prior methods in simulations.
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Sense Smarter, Think Better: A Survey on Edge Perception for Next-Generation Networks
A survey consolidating research on edge perception by examining sensing modalities, edge AI, their synergies, task-driven designs, and open challenges for 6G networks.