activity
20212024
most citedGlueFL: Reconciling Client Sampling and Model Masking for Bandwidth Efficient Federated Learning

2 citations · 9 across the 8 of their papers we have counts for

collaborators
Showing stat.MLShow all

1 paper · 1 filter

stat.ML2021

Practical Privacy Filters and Odometers with Rényi Differential Privacy and Applications to Differentially Private Deep Learning

Mathias Lécuyer

Differential Privacy (DP) is the leading approach to privacy preserving deep learning. As such, there are multiple efforts to provide drop-in integration of DP into popular framewo…