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
Carole-Jean Wu — most-cited papers & profile · Federated Learning
← authors
·
overview
Carole-Jean Wu
20
papers ·
612
citations ·
0
h-index
Medieval Academy of America · University of Maryland, College Park
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
Papaya: Practical, Private, and Scalable Federated Learning
2021 · 29 citations
Green Federated Learning
2023 · 16 citations
FEL: High Capacity Learning for Recommendation and Ranking via Federated Ensemble Learning
2022 · 3 citations
AutoFL: Enabling Heterogeneity-Aware Energy Efficient Federated Learning
2021
Towards Fair Federated Recommendation Learning: Characterizing the Inter-Dependence of System and Data Heterogeneity
2022
HeteroSwitch: Characterizing and Taming System-Induced Data Heterogeneity in Federated Learning
2024
Top co-authors
Kiwan Maeng
· 3
Ashkan Yousefpour
· 2
Dzmitry Huba
· 2
Ilya Mironov
· 2
Kaikai Wang
· 2
Luca Melis
· 2
Mani Malek
· 2
Mike Rabbat
· 2
Young Geun Kim
· 2
Anthony Shoumikhin
· 1
Ashish Shenoy
· 1
Gyudong Kim
· 1
Topics
Federated Learning
Data Heterogeneity
Privacy
Optimization
Edge Computing