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Sewoong Oh — most-cited papers & profile · Federated Learning
← authors
·
overview
Sewoong Oh
16
papers ·
285
citations ·
26
h-index
University of Washington · Seattle University
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
Efficient Algorithms for Federated Saddle Point Optimization
2021 · 9 citations
One-shot Empirical Privacy Estimation for Federated Learning
2023 · 6 citations
Gradient Inversion with Generative Image Prior
2021 · 3 citations
Can Public Large Language Models Help Private Cross-device Federated Learning?
2023 · 3 citations
FedChain: Chained Algorithms for Near-Optimal Communication Cost in Federated Learning
2021 · 2 citations
Profit: Benchmarking Personalization and Robustness Trade-off in Federated Prompt Tuning
2023 · 2 citations
Towards a Defense Against Federated Backdoor Attacks Under Continuous Training
2022 · 1 citations
Secure Stateful Aggregation: A Practical Protocol with Applications in Differentially-Private Federated Learning
2024 · 1 citations
Learning to Generate Image Embeddings with User-level Differential Privacy
2022
Private Federated Learning with Autotuned Compression
2023
Top co-authors
Giulia Fanti
· 3
Peter Kairouz
· 3
Charlie Hou
· 2
H. Brendan McMahan
· 2
Kiran K. Thekumparampil
· 2
Adria Gascon
· 1
Alina Oprea
· 1
Bo Li
· 1
Boxin Wang
· 1
Christopher A. Choquette-Choo
· 1
Enayat Ullah
· 1
Florian Schroff
· 1
Topics
Federated Learning
Privacy
Communication
Optimization
Data Heterogeneity