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cs.LG2025★ 1 cited
Secure and Private Federated Learning: Achieving Adversarial Resilience through Robust Aggregation
Kun Yang, Neena Imam
Federated Learning (FL) enables collaborative machine learning across decentralized data sources without sharing raw data. It offers a promising approach to privacy-preserving AI.…
cs.LG2025
Financial Data Analysis with Robust Federated Logistic Regression
Kun Yang, Nikhil Krishnan, Sanjeev R. Kulkarni
In this study, we focus on the analysis of financial data in a federated setting, wherein data is distributed across multiple clients or locations, and the raw data never leaves th…