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
Saeed Vahidian — most-cited papers & profile · Federated Learning
← authors
·
overview
Saeed Vahidian
9
papers ·
104
citations
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
Personalized Federated Learning by Structured and Unstructured Pruning under Data Heterogeneity
2021 · 82 citations
Towards Building the Federated GPT: Federated Instruction Tuning
2023 · 9 citations
Efficient Distribution Similarity Identification in Clustered Federated Learning via Principal Angles Between Client Data Subspaces
2022 · 5 citations
FLIS: Clustered Federated Learning via Inference Similarity for Non-IID Data Distribution
2022 · 4 citations
Rethinking Data Heterogeneity in Federated Learning: Introducing a New Notion and Standard Benchmarks
2022 · 2 citations
When Do Curricula Work in Federated Learning?
2022 · 2 citations
Group Distributionally Robust Dataset Distillation with Risk Minimization
2024
Unlocking the Potential of Federated Learning: The Symphony of Dataset Distillation via Deep Generative Latents
2023
Top co-authors
Vyacheslav Kungurtsev
· 4
Chen Chen
· 3
Mubarak Shah
· 3
Yiran Chen
· 3
Bill Lin
· 2
Jianyi Zhang
· 2
Chunyuan Li
· 1
Guoyin Wang
· 1
Jianyang Gu
· 1
Jingwei Sun
· 1
Martin Kuo
· 1
Mingyu Wang
· 1
Topics
Federated Learning
Data Heterogeneity
Optimization