Search Results - sitao+min

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Privacy Friendly Federated Missing Data Processing for Improved ML and Downstream Analysis

Cafe not only outperforms local and standard federated models but also surpasses centralized models that have full access to all the data, which is both surprising and groundbreaking. Invention Summary: Decentralized machine learning (ML) models, such as Federated Learning (FL), often face limitations due to incomplete data in distributed...

Published: 8/12/2025 | Inventor(s): Sitao Min, Jaideep Vaidya, Hafiz Asif, Xinyue Wang

Keywords(s):

Category(s): Technology Classifications > Artificial Intelligence & Machine Learning, Technology Classifications > Software & Algorithms

A Method for Secure and Privacy-Preserving Feature Encoding to Enable Federated Data Augmentation and Input Validation

2-step overview of the method Invention Summary: Predictive analytics are essential for optimizing industrial processes, but distributed sensitive data lacks generalizability, suffers from bias, and can't be gathered centrally. Although federated learning and privacy-preserving methods solve data mining problems, they face scalability...

Published: 7/9/2025 | Inventor(s): Jaideep Vaidya, Hafiz Asif, Xinyue Wang, Sitao Min

Keywords(s):

Category(s): Technology Classifications > Artificial Intelligence & Machine Learning, Technology Classifications > Software & Algorithms, Technology Classifications > Software & Copyright