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Daniel Ramage — most-cited papers & profile · Federated Learning
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·
overview
Daniel Ramage
15
papers ·
9940
citations
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
Communication-Efficient Learning of Deep Networks from Decentralized Data
2016 · 5630 citations
Federated Optimization: Distributed Machine Learning for On-Device Intelligence
2016 · 1655 citations
Towards Federated Learning at Scale: System Design
2019 · 958 citations
Learning Differentially Private Recurrent Language Models
2017 · 671 citations
Applied Federated Learning: Improving Google Keyboard Query Suggestions
2018 · 451 citations
Practical Secure Aggregation for Federated Learning on User-Held Data
2016 · 190 citations
Federated Evaluation of On-device Personalization
2019 · 118 citations
Generative Models for Effective ML on Private, Decentralized Datasets
2019 · 43 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
Private Federated Learning in Gboard
2023 · 5 citations
Confidential Federated Computations
2024 · 3 citations
Prompt Public Large Language Models to Synthesize Data for Private On-device Applications
2024 · 3 citations
Top co-authors
H. Brendan McMahan
· 6
Hubert Eichner
· 5
Peter Kairouz
· 5
Dzmitry Huba
· 2
Fran\c{c}oise Beaufays
· 2
Jakub Kone\v{c}n\'y
· 2
Katharine Daly
· 2
Rajiv Mathews
· 2
Timon Van Overveldt
· 2
Yanxiang Zhang
· 2
Aaron Segal
· 1
Adria Gascon
· 1
Topics
Federated Learning
Privacy
Communication
Optimization
Edge Computing
Data Heterogeneity
Security
Adversarial Attacks