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Peter Kairouz — most-cited papers & profile · Federated Learning
← authors
·
overview
Peter Kairouz
28
papers ·
767
citations ·
28
h-index
Google (United States)
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Most-cited papers
Can You Really Backdoor Federated Learning?
2019 · 369 citations
A Field Guide to Federated Optimization
2021 · 167 citations
Generative Models for Effective ML on Private, Decentralized Datasets
2019 · 43 citations
The Skellam Mechanism for Differentially Private Federated Learning
2021 · 37 citations
The Distributed Discrete Gaussian Mechanism for Federated Learning with Secure Aggregation
2021 · 25 citations
Practical and Private (Deep) Learning without Sampling or Shuffling
2021 · 22 citations
Federated Heavy Hitters Discovery with Differential Privacy
2019 · 13 citations
The Fundamental Price of Secure Aggregation in Differentially Private Federated Learning
2022 · 12 citations
Federated Learning in Practice: Reflections and Projections
2024 · 9 citations
Back to the Drawing Board: A Critical Evaluation of Poisoning Attacks on Production Federated Learning
2021 · 9 citations
Shuffled Model of Federated Learning: Privacy, Communication and Accuracy Trade-offs
2020 · 7 citations
One-shot Empirical Privacy Estimation for Federated Learning
2023 · 6 citations
Privacy Amplification via Compression: Achieving the Optimal Privacy-Accuracy-Communication Trade-off in Distributed Mean Estimation
2023 · 5 citations
Private Federated Learning in Gboard
2023 · 5 citations
Confidential Federated Computations
2024 · 3 citations
Top co-authors
Daniel Ramage
· 5
Adria Gascon
· 4
Ananda Theertha Suresh
· 4
Marco Gruteser
· 4
Albert Cheu
· 3
Brendan McMahan
· 3
Christopher A. Choquette-Choo
· 3
Galen Andrew
· 3
H. Brendan McMahan
· 3
Hubert Eichner
· 3
Katharine Daly
· 3
Sewoong Oh
· 3
Topics
Federated Learning
Privacy
Communication
Optimization
Adversarial Attacks
Security
Edge Computing
Data Heterogeneity