Search Results - jaideep+vaidya

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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: 1/7/2025   |   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: 10/28/2024   |   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
SYNTHETIC DATA GENERATION WHILE PRESERVING OBSERVABLE AND MISSING DATA DISTRIBUTIONS
­ Model illustrating synthetic data generation Invention Summary: Developers and analysts often require large, accurately labeled datasets when training AI models, though it can be unrealistically time-consuming and expensive, and in many cases impossible due to privacy and confidentiality, to obtain real-world datasets. Algorithms...
Published: 4/25/2024   |   Inventor(s): Jaideep Vaidya, Hafiz Asif, Xinyue Wang
Keywords(s):  
Category(s): Technology Classifications > Artificial Intelligence & Machine Learning, Technology Classifications > Software & Algorithms, Technology Classifications > Software & Copyright