May 24, 2022 · We propose Byzantine-robust federated learning protocols with nearly optimal statistical rates. In contrast to prior work, our proposed ...
We propose Byzantine-robust federated learning protocols with nearly optimal statistical rates based on recent progress in high dimensional robust ...
We propose Byzantine-robust federated learn- ing protocols with nearly optimal statistical rates based on recent progress in high dimen- sional robust ...
We propose Byzantine-robust federated learning protocols with nearly optimal statistical rates ... Byzantine-Robust Federated Learning with Optimal Statistical ...
We propose Byzantine-robust federated learning protocols with nearly optimal statistical rates. In contrast to prior work, our proposed protocols improve ...
May 24, 2022 · We propose Byzantine-robust federated learning protocols with nearly optimal statistical rates. In contrast to prior work, our proposed ...
Mar 5, 2018 · A main result of this work is a sharp analysis of two robust distributed gradient descent algorithms based on median and trimmed mean operations ...
Missing: Federated | Show results with:Federated
This repository contains the evaluation code for the following manuscripts. Byzantine-Robust Federated Learning with Optimal Statistical Rates and Privacy ...
Byzantine-Robust Distributed Learning: Towards Optimal ...
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In this paper, we develop distributed learning algorithms that are provably robust against such failures, with a focus on achieving optimal statistical ...
This repository contains research code for our Byzantine robust optimization paper. Summary: We study the problem of federated and distributed learning in ...