2 papers
stat.ML2025
A Novel Algorithm for Personalized Federated Learning: Knowledge Distillation with Weighted Combination Loss
Hengrui Hu, Anai N. Kothari, Anjishnu Banerjee
Federated learning (FL) offers a privacy-preserving framework for distributed machine learning, enabling collaborative model training across diverse clients without centralizing se…
cs.LG2024
Stronger Baseline Models -- A Key Requirement for Aligning Machine Learning Research with Clinical Utility
Nathan Wolfrath, Joel Wolfrath, Hengrui Hu +2
Machine Learning (ML) research has increased substantially in recent years, due to the success of predictive modeling across diverse application domains. However, well-known barrie…