Towards a Federated Learning Approach for Branched Wired Networks Prognosis
Author:
Affiliation:
1. Université Paris-Saclay,CEA, List,Palaiseau,France,F-91120
2. University of Versailles, University of Paris-Saclay,DAVID Lab,Versailles,France
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10151847/10152298/10152421.pdf?arnumber=10152421
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1. Prognosis of Underground Cable via Online Data-Driven Method With Field Data
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3. FedRUL: A New Federated Learning Method for Edge-Cloud Collaboration Based Remaining Useful Life Prediction of Machines;guo;IEEE/ASME Transactions on Mechatronics,2022
4. Wirelessly Powered Embedded Sensor Nodes for Internal Structural Health Monitoring
5. A Diagnostics Framework for Underground Power Cables Lifetime Estimation Under Uncertainty
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