FedSensor: Federated Learning Framework for Secure Sensor-Based IoT at the Extreme Edge

FedSensor: Federated Learning Framework for Secure Sensor-Based IoT at the Extreme Edge

Ultra-low-power IoT devices at the extreme edge generate valuable data for machine learning applications, however, these devices face stringent limitations in processing power, memory, and energy capacity. The current paper introduces FedSensor, a federated learning framework specifically designed t...

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Bibliographic Details
Main Authors: Norisvaldo Ferraz Junior, Anderson Aparecido Alves da Silva, Adilson Eduardo Guelfi, Eduardo Takeo Ueda, Sergio Takeo Kofuji
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Federated learning
edge intelligence
ultra-low-power IoT devices
runtime model update
privacy-preserving IoT
energy-efficiency
Online Access:https://ieeexplore.ieee.org/document/11108279/
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https://ieeexplore.ieee.org/document/11108279/

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