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Lutz Lampe

4 papers indexed

arxivcs.LGcs.DCeess.SP2026-07-31

GQ-FSL: Green Quantized Federated Split Learning

Idan Roth, Lutz Lampe

Deploying state-of-the-art deep neural networks (DNNs) at the wireless edge is severely bottlenecked by the strict energy and resource constraints of mobile devices. While federated split learning (FSL) mitigates on-device computation by offloading workloads to an edge server, th…

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crossrefSensors2024-01-05Cited by 9

Validation of Machine Learning-Aided and Power Line Communication-Based Cable Monitoring Using Measurement Data

Yinjia Huo, Kevin Wang, Lutz Lampe, Victor C.M. Leung

The implementation of power line communications (PLC) in smart electricity grids provides us with exciting opportunities for real-time cable monitoring. In particular, effective fault classification and estimation methods employing machine learning (ML) models have been proposed…

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