Publication

Privacy-preserving and Personalized Federated Machine Learning for Medical Data

About
Privacy
Disclaimer

Graph Chatbot

Chat with Graph Search

Ask any question about EPFL courses, lectures, exercises, research, news, etc. or try the example questions below.

DISCLAIMER: The Graph Chatbot is not programmed to provide explicit or categorical answers to your questions. Rather, it transforms your questions into API requests that are distributed across the various IT services officially administered by EPFL. Its purpose is solely to collect and recommend relevant references to content that you can explore to help you answer your questions.

Privacy-preserving and Personalized Federated Machine Learning for Medical Data

Graph Chatbot

Chat with Graph Search

Machine learning-aided generative molecular design

CloudProphet: A Machine Learning-Based Performance Prediction for Public Clouds

Meta-learning to address diverse Earth observation problems across resolutions

Discrete choice modeling in the era of big data

Federated learning with uncertainty-based client clustering for fleet-wide fault diagnosis

Quantifying the Unknown: Data-Driven Approaches and Applications in Energy Systems

On the Generalization of Stochastic Gradient Descent with Momentum

Random matrix methods for high-dimensional machine learning models

Can Gas Consumption Data Improve the Performance of Electricity Theft Detection?

Task-driven neural network models predict neural dynamics of proprioception: Experimental data, activations and predictions of neural network models