An optimal convex-reformulated power control algorithm is derived for signal-level integrated sensing, computing and communication in AirComp-based federated learning under a joint target detection constraint.
Distributed learning in wireless networks: Recent progress and future challenges
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A structured survey of edge perception that integrates sensing modalities, edge AI, task-driven designs, and open challenges for 6G networks.
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Analytically Characterized Optimal Power Control for Signal-Level-Integrated Sensing, Computing and Communication in Federated Learning
An optimal convex-reformulated power control algorithm is derived for signal-level integrated sensing, computing and communication in AirComp-based federated learning under a joint target detection constraint.
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Sense Smarter, Think Better: Edge Perception for Next-Generation Networks
A structured survey of edge perception that integrates sensing modalities, edge AI, task-driven designs, and open challenges for 6G networks.