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Deepesh Data — most-cited papers & profile · Federated Learning
← authors
·
overview
Deepesh Data
7
papers ·
189
citations ·
13
h-index
University of California, Los Angeles · UCLA Health
Google Scholar ↗
Semantic Scholar ↗
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Most-cited papers
A Field Guide to Federated Optimization
2021 · 167 citations
Shuffled Model of Federated Learning: Privacy, Communication and Accuracy Trade-offs
2020 · 7 citations
Renyi Differential Privacy of the Subsampled Shuffle Model in Distributed Learning
2021 · 5 citations
QuPeD: Quantized Personalization via Distillation with Applications to Federated Learning
2021 · 5 citations
QuPeL: Quantized Personalization with Applications to Federated Learning
2021 · 2 citations
A Generative Framework for Personalized Learning and Estimation: Theory, Algorithms, and Privacy
2022 · 2 citations
Byzantine-Resilient High-Dimensional Federated Learning
2020 · 1 citations
Top co-authors
Suhas Diggavi
· 7
Antonious M. Girgis
· 4
Kaan Ozkara
· 3
Navjot Singh
· 2
Peter Kairouz
· 2
Advait Gadhikar
· 1
Alex Ingerman
· 1
Ameet Talwalkar
· 1
Ananda Theertha Suresh
· 1
and Ananda Theertha Suresh
· 1
Andrew Hard
· 1
Blaise Agüera y Arcas
· 1
Topics
Federated Learning
Optimization
Privacy
Data Heterogeneity
Communication
Adversarial Attacks
Security