Yu Ding

Federated Function-on-function Regression With an Efficient Gradient Boosting Algorithm for Privacy-Preserving Telemedicine

2026 · IEEE Transactions on Automation Science and Engineering

Federated Learning (FL) is an emerging computing paradigm to collaboratively train Machine Learning (ML) models across multi-source data while preserving privacy. The major challenge of "meaningful" implementation of FL for any ML model is how …