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Sebastian U. Stich — most-cited papers & profile · Federated Learning
← authors
·
overview
Sebastian U. Stich
21
papers ·
1657
citations ·
28
h-index
Helmholtz Center for Information Security
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
SCAFFOLD: Stochastic Controlled Averaging for Federated Learning
2019 · 735 citations
Ensemble Distillation for Robust Model Fusion in Federated Learning
2020 · 486 citations
A Field Guide to Federated Optimization
2021 · 167 citations
Mime: Mimicking Centralized Stochastic Algorithms in Federated Learning
2020 · 94 citations
A Unified Theory of Decentralized SGD with Changing Topology and Local Updates
2020 · 49 citations
Is Local SGD Better than Minibatch SGD?
2020 · 45 citations
Sharper Convergence Guarantees for Asynchronous SGD for Distributed and Federated Learning
2022 · 18 citations
Quasi-Global Momentum: Accelerating Decentralized Deep Learning on Heterogeneous Data
2021 · 14 citations
ProgFed: Effective, Communication, and Computation Efficient Federated Learning by Progressive Training
2021 · 13 citations
ProxSkip: Yes! Local Gradient Steps Provably Lead to Communication Acceleration! Finally!
2022 · 10 citations
Data-heterogeneity-aware Mixing for Decentralized Learning
2022 · 8 citations
On the effectiveness of partial variance reduction in federated learning with heterogeneous data
2022 · 4 citations
Synthetic data shuffling accelerates the convergence of federated learning under data heterogeneity
2023 · 4 citations
Non-Convex Federated Optimization under Cost-Aware Client Selection
2025
Decoupled SGDA for Games with Intermittent Strategy Communication
2025
Top co-authors
Martin Jaggi
· 8
Anton Rodomanov
· 4
Sai Praneeth Karimireddy
· 4
Ananda Theertha Suresh
· 3
Anastasia Koloskova
· 3
Mehryar Mohri
· 3
Sashank J. Reddi
· 3
Satyen Kale
· 3
Xiaowen Jiang
· 3
Blake Woodworth
· 2
H. Brendan McMahan
· 2
Mikkel N. Schmidt
· 2
Topics
Federated Learning
Optimization
Communication
Data Heterogeneity
Privacy