2000 character limit reached
Federated Learning Approach for Lifetime Prediction of Semiconductor Lasers
Published 19 Mar 2022 in eess.SP and cs.LG | (2203.12414v1)
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
Paper Prompts
Sign up for free to create and run prompts on this paper.