Robust and personalized federated learning for aircraft-engine prognostics under benign and adversarial client heterogeneity
Read the original at arxiv.org→arXiv:2608.04045v1 Announce Type: new Abstract: Federated learning (FL) enables aircraft fleet operators to jointly train remaining-useful-life (RUL) models from engine sensor telemetry without sharing raw data....
Original headline: "Robust and Personalized Federated Learning for Aircraft-Engine Prognostics under Benign and Adversarial Client Heterogeneity"
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- Aug 6, 04:00 UTC arXiv cs.LG lead source Robust and Personalized Federated Learning for Aircraft-Engine Prognostics under Benign and Adversarial Client Heterogeneity