most citedAn Adaptive ML Framework for Power Converter Monitoring via Federated Transfer Learning

2 citations · 2 across the 2 of their papers we have counts for

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2 papers

cs.LG2025

System Identification Using Kolmogorov-Arnold Networks: A Case Study on Buck Converters

Nart Gashi, Panagiotis Kakosimos, George Papafotiou

Kolmogorov-Arnold Networks (KANs) are emerging as a powerful framework for interpretable and efficient system identification in dynamic systems. By leveraging the Kolmogorov-Arnold…

cs.LG2025★ 2 cited

An Adaptive ML Framework for Power Converter Monitoring via Federated Transfer Learning

Panagiotis Kakosimos, Alireza Nemat Saberi, Luca Peretti

This study explores alternative framework configurations for adapting thermal machine learning (ML) models for power converters by combining transfer learning (TL) and federated le…