FedEmerge: An Entropy-Guided Federated Learning Method for Sensor Networks and Edge Intelligence

FedEmerge: An Entropy-Guided Federated Learning Method for Sensor Networks and Edge Intelligence

<b>Introduction:</b> Federated Learning (FL) is a distributed machine learning paradigm where a global model is collaboratively trained across multiple decentralized clients without exchanging raw data. This is especially important in sensor networks and edge intelligence, where data pri...

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Bibliographic Details
Main Author: Koffka Khan
Format: Article
Language:English
Published: MDPI AG 2025-06-01
Series:Sensors
Subjects:
federated learning
entropy
model aggregation
non-IID data
Polyak–Łojasiewicz condition
convergence analysis
Online Access:https://www.mdpi.com/1424-8220/25/12/3728
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