EDT-SaFL: Semi-Asynchronous Federated Learning for Edge Digital Twin in Industrial Internet-of-Things

Ming Tao; Lingling Liao; Yin Zhang⋆; Lei Liu; Geyong Min; Dusit Niyato; Schahram Dustdar

doi:10.1109/tmc.2025.3595117

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EDT-SaFL: Semi-Asynchronous Federated Learning for Edge Digital Twin in Industrial Internet-of-Things

Ming Tao Lingling Liao Yin Zhang⋆Lei Liu Geyong Min Dusit Niyato Schahram Dustdar

Year: 2025 Journal: IEEE Transactions on Mobile Computing Vol: 25 (1)Pages: 674-690 Publisher: IEEE Computer Society

DOI: 10.1109/tmc.2025.3595117

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Keywords:

Computer science Asynchronous communication The Internet Enhanced Data Rates for GSM Evolution Internet of Things Multimedia Computer network World Wide Web Telecommunications

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Ferroelectric and Negative Capacitance Devices

Physical Sciences → Engineering → Electrical and Electronic Engineering

Privacy-Preserving Technologies in Data

Physical Sciences → Computer Science → Artificial Intelligence

IoT and Edge/Fog Computing

Physical Sciences → Computer Science → Computer Networks and Communications

EDT-SaFL: Semi-Asynchronous Federated Learning for Edge Digital Twin in Industrial Internet-of-Things

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