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stat.ML2024
A Two-Stage Federated Learning Approach for Industrial Prognostics Using Large-Scale High-Dimensional Signals
Yuqi Su, Xiaolei Fang
Industrial prognostics aims to develop data-driven methods that leverage high-dimensional degradation signals from assets to predict their failure times. The success of these model…
stat.ML2023
A Federated Data Fusion-Based Prognostic Model for Applications with Multi-Stream Incomplete Signals
Madi Arabi, Xiaolei Fang
Most prognostic methods require a decent amount of data for model training. In reality, however, the amount of historical data owned by a single organization might be small or not…