FedCMAPSS: A Benchmark for Federated Learning in Remaining Useful Life Estimation

arXiv:2608.26433 · cs.LG · Submitted 2026-08-26 · Read on arXiv

cs.LG

Submitted: 2026-08-26

Updated: 2026-08-26

Code: https://github.com/perceivelab/FedCMAPSS

Terminology

• Federated Learning — 27× in this paper · explained in 15 episodes
• Benchmark — 13× in this paper · explained in 2 episodes
• Aggregation — 9× in this paper · explained in 1 episode
• Predictive Maintenance — 7× in this paper · explained in 2 episodes
• Accuracy — 3× in this paper · explained in 1 episode
• Communication Overhead — 3× in this paper · explained in 2 episodes
• Domain Shift — 3× in this paper · explained in 4 episodes
• Local Optimization — 3× in this paper · explained in 2 episodes
• Non-IID Data — 3× in this paper · explained in 2 episodes
• Personalization — 3× in this paper · explained in 2 episodes
• Pruning — 3× in this paper · explained in 4 episodes
• Transformer — 3× in this paper · explained in 2 episodes
• Attention Mechanism — 2× in this paper · explained in 3 episodes
• Clustering — 2× in this paper · explained in 2 episodes
• Consistency — 2× in this paper · explained in 3 episodes
• Decentralized Federated Learning — 2× in this paper · explained in 2 episodes
• Dynamic Weighting — 2× in this paper · explained in 3 episodes
• Edge Devices — 2× in this paper · explained in 2 episodes
• Regularization — 2× in this paper · explained in 3 episodes
• 1D CNN — 1× in this paper · explained in 2 episodes
• Attention-Free Transformer — 1× in this paper
• Distribution Shift — 1× in this paper · explained in 6 episodes
• Edge Deployment — 1× in this paper · explained in 2 episodes
• Feature Engineering — 1× in this paper · explained in 3 episodes
• Feature Extraction — 1× in this paper · explained in 2 episodes
• Federated Learning (FL) — 1× in this paper · explained in 7 episodes
• Few-Shot Learning — 1× in this paper · explained in 4 episodes
• Generalization — 1× in this paper · explained in 13 episodes
• Latent Space — 1× in this paper · explained in 7 episodes
• Methodological Rigor — 1× in this paper · explained in 2 episodes
• Transformer Architecture — 1× in this paper · explained in 2 episodes
• Verification — 1× in this paper · explained in 2 episodes

Sources

• Using Federated Machine Learning in Predictive Maintenance of Jet Engines
• Federated Learning: Strategies for Improving Communication Efficiency
• Federated Learning with Matched Averaging
• Federated Learning with Personalization Layers

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