2023
DOI: 10.3390/s24010088
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Personalized Fair Split Learning for Resource-Constrained Internet of Things

Haitian Chen,
Xuebin Chen,
Lulu Peng
et al.

Abstract: With the flourishing development of the Internet of Things (IoT), federated learning has garnered significant attention as a distributed learning method aimed at preserving the privacy of participant data. However, certain IoT devices, such as sensors, face challenges in effectively employing conventional federated learning approaches due to limited computational and storage resources, which hinder their ability to train complex local models. Additionally, in IoT environments, devices often face problems of da… Show more

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