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Antonious M. Girgis — most-cited papers & profile · Federated Learning
← authors
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overview
Antonious M. Girgis
11
papers ·
182
citations
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
A Generative Framework for Personalized Learning and Estimation: Theory, Algorithms, and Privacy
2022 · 2 citations
Learning from straggler clients in federated learning
2024 · 1 citations
Multi-Message Shuffled Privacy in Federated Learning
2023
Top co-authors
Andrew Hard
· 2
Peter Kairouz
· 2
Ameet Talwalkar
· 1
Blaise Aguera y Arcas
· 1
Chaoyang He
· 1
Chen Zhu
· 1
Felix X. Yu
· 1
Galen Andrew
· 1
Hang Qi
· 1
H. Brendan McMahan
· 1
Hongyi Wang
· 1
Jianyu Wang
· 1
Topics
Federated Learning
Privacy
Optimization
Communication
Data Heterogeneity