A decentralised federated learning scheme for heterogeneous devices in cognitive IoT

A decentralised federated learning scheme for heterogeneous devices in cognitive IoT

Cognitive Internet of Things (IoT) technologies typically rely on substantial data collected from edge devices for data analysis and decision-making. However this reliance often leads to the inadvertent exposure of private data from smart edge devices. Federated learning (FL) is a distributed machin...

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Bibliographic Details
Main Authors: Huanhuan Ge, Xingtao Yang, Jinlong Wang, Zhihan Lyu
Format: Article
Language:English
Published: KeAi Communications Co., Ltd. 2024-01-01
Series:International Journal of Cognitive Computing in Engineering
Subjects:
Cognitive IoT
Distributed machine learning
Federated learning
Heterogeneous devices
Knowledge transfer
Online Access:http://www.sciencedirect.com/science/article/pii/S2666307424000299
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