Awesome Federated Learning
📄
Papers
🧭
Topics
🔥
Trending
🗺️
Map
🏆
Leaderboards
🎓
Learn
🤖
Ask AI
⋯
More
👥
Authors
📚
Reading Packs
📊
Datasets
🛠️
Tools
📰
News
📝
Blogs
✉️
Newsletter
🎯
Research Radar
🔖
Saved
+ Add Paper
☾
☀
← authors
·
overview
Loading author…
🤖
Ask AI
Laurent Condat — most-cited papers & profile · Federated Learning
← authors
·
overview
Laurent Condat
8
papers ·
52
citations
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
Optimal Gradient Compression for Distributed and Federated Learning
2020 · 36 citations
From Local SGD to Local Fixed-Point Methods for Federated Learning
2020 · 10 citations
EF-BV: A Unified Theory of Error Feedback and Variance Reduction Mechanisms for Biased and Unbiased Compression in Distributed Optimization
2022 · 3 citations
TAMUNA: Doubly Accelerated Distributed Optimization under Partial Participation
2023 · 3 citations
Sparse-ProxSkip: Accelerated Sparse-to-Sparse Training in Federated Learning
2024
LoCoDL: Communication-Efficient Distributed Learning with Local Training and Compression
2024
FedComLoc: Communication-Efficient Distributed Training of Sparse and Quantized Models
2024
Explicit Personalization and Local Training: Double Communication Acceleration in Federated Learning
2023
Top co-authors
Peter Richt\'arik
· 8
Kai Yi
· 4
Georg Meinhardt
· 2
Grigory Malinovsky
· 2
Alyazeed Albasyoni
· 1
Artavazd Maranjyan
· 1
Dmitry Kovalev
· 1
Elnur Gasanov
· 1
Ivan Agarsk\'y
· 1
Mher Safaryan
· 1
Topics
Communication
Federated Learning
Optimization
Privacy