2 papers
cs.LG2026
FTTE: Enabling Federated and Resource-Constrained Deep Edge Intelligence
Irene Tenison, Anna Murphy, Charles Beauville +1
Federated learning (FL) enables collaborative model training across distributed devices while preserving data privacy, but deployment on resource-constrained edge nodes remains cha…
cs.LG2025
Advancing oncology with federated learning: transcending boundaries in breast, lung, and prostate cancer. A systematic review
Anshu Ankolekar, Sebastian Boie, Maryam Abdollahyan +11
Federated Learning (FL) has emerged as a promising solution to address the limitations of centralised machine learning (ML) in oncology, particularly in overcoming privacy concerns…