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Sean Augenstein — most-cited papers & profile · Federated Learning
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Sean Augenstein
6
papers ·
54
citations
Google Scholar ↗
Semantic Scholar ↗
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Most-cited papers
Generative Models for Effective ML on Private, Decentralized Datasets
2019 · 43 citations
Jointly Learning from Decentralized (Federated) and Centralized Data to Mitigate Distribution Shift
2021 · 5 citations
Mixed Federated Learning: Joint Decentralized and Centralized Learning
2022 · 5 citations
Learning from straggler clients in federated learning
2024 · 1 citations
Production federated keyword spotting via distillation, filtering, and joint federated-centralized training
2022
Learning to Generate Image Embeddings with User-level Differential Privacy
2022
Top co-authors
Rajiv Mathews
· 5
Andrew Hard
· 3
Kurt Partridge
· 3
Aishanee Shah
· 1
Alex Park
· 1
Andrew Hard
· 1
Antonious M. Girgis
· 1
Blaise Agüera y Arcas
· 1
Daniel Ramage
· 1
Ehsan Amid
· 1
Florian Schroff
· 1
Fran\c{c}oise Beaufays
· 1
Topics
Federated Learning
Privacy
Edge Computing