{"slug": "fedcmapss-a-benchmark-for-federated-learning-in-remaining-useful-life-estimation", "title": "FedCMAPSS: A Benchmark for Federated Learning in Remaining Useful Life Estimation", "summary": "Researchers introduced FedCMAPSS, a benchmark for federated learning in remaining useful life estimation based on the NASA C-MAPSS dataset, defining five standardized tasks that simulate industrial challenges from IID to extreme statistical heterogeneity. The benchmark provides reproducible baselines and public source code and data splits to standardize evaluation of federated optimization algorithms across neural architectures.", "body_md": "arXiv:2608.26433v1 Announce Type: new\nAbstract: Data-driven prognostics and health management has emerged as a key enabler for Industry 4.0, yet the development of robust remaining useful life (RUL) estimation models is often limited by the scarcity of run-to-failure data. While federated learning offers a promising paradigm to collaboratively train predictive models without sharing sensor data, research efforts have operated so far in the absence of a common evaluation framework. To address this gap, this paper introduces FedCMAPSS, a benchmark for federated RUL estimation based on the commonly-used NASA C-MAPSS dataset. We define a set of five standardized tasks designed to simulate real-world industrial challenges, ranging from ideal IID settings to extreme statistical heterogeneity, and conduct a systematic evaluation of state-of-the-art federated optimization algorithms across multiple neural architectures. By establishing reproducible baselines and making the source code and data splits publicly available, this work aims to provide a standard foundation for developing and comparing federated predictive maintenance solutions.", "url": "https://wpnews.pro/news/fedcmapss-a-benchmark-for-federated-learning-in-remaining-useful-life-estimation", "canonical_source": "https://arxiv.org/abs/2608.26433", "published_at": "2026-08-28 04:00:00+00:00", "updated_at": "2026-08-28 04:21:09.952928+00:00", "lang": "en", "topics": ["machine-learning", "ai-research", "ai-infrastructure"], "entities": ["NASA C-MAPSS", "FedCMAPSS"], "alternates": {"html": "https://wpnews.pro/news/fedcmapss-a-benchmark-for-federated-learning-in-remaining-useful-life-estimation", "markdown": "https://wpnews.pro/news/fedcmapss-a-benchmark-for-federated-learning-in-remaining-useful-life-estimation.md", "text": "https://wpnews.pro/news/fedcmapss-a-benchmark-for-federated-learning-in-remaining-useful-life-estimation.txt", "jsonld": "https://wpnews.pro/news/fedcmapss-a-benchmark-for-federated-learning-in-remaining-useful-life-estimation.jsonld"}}