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Analytically Characterized Optimal Power Control for Signal-Level-Integrated Sensing, Computing and Communication in Federated Learning

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Published in:ArXiv cs.IT Recent Papers
Format: Online Article RSS Article
Published: 2026
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spellingShingle Analytically Characterized Optimal Power Control for Signal-Level-Integrated Sensing, Computing and Communication in Federated Learning
ArXiv cs.IT Recent Papers
Mechanical Engineering
Engineering & Technology
sub_discipline_display Mechanical Engineering
sub_discipline_facet Mechanical Engineering
subject_display ArXiv cs.IT Recent Papers
Mechanical Engineering
Engineering & Technology
ArXiv cs.IT Recent Papers
Mechanical Engineering
Engineering & Technology
subject_facet ArXiv cs.IT Recent Papers
Mechanical Engineering
Engineering & Technology
title Analytically Characterized Optimal Power Control for Signal-Level-Integrated Sensing, Computing and Communication in Federated Learning
title_auth Analytically Characterized Optimal Power Control for Signal-Level-Integrated Sensing, Computing and Communication in Federated Learning
title_full Analytically Characterized Optimal Power Control for Signal-Level-Integrated Sensing, Computing and Communication in Federated Learning
title_fullStr Analytically Characterized Optimal Power Control for Signal-Level-Integrated Sensing, Computing and Communication in Federated Learning
title_full_unstemmed Analytically Characterized Optimal Power Control for Signal-Level-Integrated Sensing, Computing and Communication in Federated Learning
title_short Analytically Characterized Optimal Power Control for Signal-Level-Integrated Sensing, Computing and Communication in Federated Learning
title_sort analytically characterized optimal power control for signal-level-integrated sensing, computing and communication in federated learning
topic ArXiv cs.IT Recent Papers
Mechanical Engineering
Engineering & Technology
url https://arxiv.org/abs/2604.26741v1