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By: (Edited by) Gaurav Agarwal , (Edited by) Kaushal Kishor , (Edited by) Neetesh Saxena , (Edited by) Parma Nand , (Edited by) Rani Astya , (Edited by) Vishal Jain
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The effectiveness of federated learning in high‑performance information systems and informatics‑based solutions for addressing current information support requirements is demonstrated in this book. To address heterogeneity challenges in Internet of Things (IoT) contexts, Federated Learning for Smart Communication using IoT Application analyses the development of personalized federated learning algorithms capable of mitigating the detrimental consequences of heterogeneity in several dimensions. It includes case studies of IoT‑based human activity recognition to show the efficacy of personalized federated learning for intelligent IoT applications.
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This book is recommended for anyone interested in federated learning‑based intelligent algorithms for smart communications.
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