FENDA-FL: Personalized Federated Learning on Heterogeneous Clinical Datasets

1 code implementation • 28 Sep 2023 • Fatemeh Tavakoli, D. B. Emerson, Sana Ayromlou, John Jewell, Amrit Krishnan, Yuchong Zhang, Amol Verma, Fahad Razak

Federated learning (FL) is increasingly being recognized as a key approach to overcoming the data silos that so frequently obstruct the training and deployment of machine-learning models in clinical settings.

Personalized Federated Learning

GANs as Gradient Flows that Converge

no code implementations • 5 May 2022 • Yu-Jui Huang, Yuchong Zhang

A main result shows that along the gradient flow induced by a distribution-dependent ordinary differential equation (ODE), the unknown data distribution emerges as the long-time limit.