Federated Learning Approach for Lifetime Prediction of Semiconductor Lasers

2022/03/19 by Khouloud Abdelli, Abdelli, Khouloud, Helmut Grießer +3 · 1 citation
Engineering · Medicine · Physics and Astronomy · #Advanced Optical Sensing Technologies #FOS: Computer and information sciences #FOS: Electrical engineering #Machine Learning (cs.LG) #Ocular and Laser Science Research #Semiconductor Lasers and Optical Devices #Signal Processing (eess.SP) #electronic engineering #information engineering

paper · pdf · doi:10.48550/arxiv.2203.12414

openalex publication_date 2022/03/19 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28

Abstract

A new privacy-preserving federated learning framework allowing laser manufacturers to collaboratively build a robust ML-based laser lifetime prediction model, is proposed. It achieves a mean absolute error of 0.1 years and a significant performance improvement

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