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20202026
most citedFLamby: Datasets and Benchmarks for Cross-Silo Federated Learning in Realistic Healthcare Settings

39 citations · 55 across the 14 of their papers we have counts for

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Showing cs.CRShow all

3 papers · 1 filter

cs.CR2026

Limits of Personalizing Differential Privacy Budgets

Edwige Cyffers, Juba Ziani

A key technical difficulty in differential privacy is selecting a privacy budget that satisfies privacy requirements while maximizing utility. A natural and well-studied workaround…

cs.CR2025

Setting is not the Issue in Differential Privacy

Edwige Cyffers

This position paper argues that setting the privacy budget in differential privacy should not be viewed as an important limitation of differential privacy compared to alternative m…

cs.CR2022★ 1 cited

Muffliato: Peer-to-Peer Privacy Amplification for Decentralized Optimization and Averaging

Edwige Cyffers, Mathieu Even, Aurélien Bellet +1

Decentralized optimization is increasingly popular in machine learning for its scalability and efficiency. Intuitively, it should also provide better privacy guarantees, as nodes o…