AFL: An Adaptively Federated Multitask Learning for Model Sharing in Industrial IoT
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DOI: 10.1109/jiot.2021.3125989
Abstract: In the Industrial Internet of Things (IIoT), model and computing power sharing among devices can improve resource utilization and work efficiency. However, data privacy and security issues hinder the sharing process. Besides, in the process… read more here.
Keywords: multitask learning; model; model sharing; adaptively federated ... See more keywords
Communication-Efficient Federated Multitask Learning Over Wireless Networks
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DOI: 10.1109/jiot.2022.3201310
Abstract: This article investigates the scheduling framework of the federated multitask learning (FMTL) problem with a hard-cooperation structure over wireless networks, in which the scheduling becomes more challenging due to the different convergence behaviors of different… read more here.
Keywords: wireless networks; communication efficient; communication; multitask learning ... See more keywords
Clustered Federated Multitask Learning on Non-IID Data With Enhanced Privacy
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DOI: 10.1109/jiot.2022.3228893
Abstract: Federated learning is a machine learning prgadigm that enables the collaborative learning among clients while keeping the privacy of clients’ data. Federated multitask learning (FMTL) deals with the statistic challenge of non-independent and identically distributed… read more here.
Keywords: non iid; multitask learning; iid data; privacy ... See more keywords