Publication

Personalized Privacy-Preserving Distributed Learning on Heterogeneous Data

Related publications (46)

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.

Personalized Privacy-Preserving Distributed Learning on Heterogeneous Data

Graph Chatbot

Chat with Graph Search

Optimization Algorithms for Decentralized, Distributed and Collaborative Machine Learning

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

Arbitrary Decisions are a Hidden Cost of Differentially Private Training

A Practical Influence Approximation for Privacy-Preserving Data Filtering in Federated Learning

Regressive Tomography and Direct Regressive Reconstruction: A Research Note

Federated Learning under Covariate Shifts with Generalization Guarantees

Generating Higher-Fidelity Synthetic Datasets with Privacy Guarantees

System Support for Robust Distributed Learning

Adversarial Parametric Pose Prior

Deep Domain Adaptation in Earth Observation