most citedA Federated Learning-based Industrial Health Prognostics for Heterogeneous Edge Devices using Matched Feature Extraction

73 citations · 73 across the 1 of their papers we have counts for

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cs.LG2023★ 73 cited

A Federated Learning-based Industrial Health Prognostics for Heterogeneous Edge Devices using Matched Feature Extraction

Anushiya Arunan, Yan Qin, Xiaoli Li +1

Data-driven industrial health prognostics require rich training data to develop accurate and reliable predictive models. However, stringent data privacy laws and the abundance of e…