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
Ameet Talwalkar — most-cited papers & profile · Federated Learning
← authors
·
overview
Ameet Talwalkar
17
papers ·
1138
citations ·
45
h-index
Carnegie Mellon University
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
Federated Optimization in Heterogeneous Networks
2018 · 452 citations
A Field Guide to Federated Optimization
2021 · 167 citations
Expanding the Reach of Federated Learning by Reducing Client Resource Requirements
2018 · 158 citations
One-Shot Federated Learning
2019 · 139 citations
Federated Multi-Task Learning
2017 · 115 citations
Adaptive Gradient-Based Meta-Learning Methods
2019 · 22 citations
Differentially Private Meta-Learning
2019 · 21 citations
Federated Hyperparameter Tuning: Challenges, Baselines, and Connections to Weight-Sharing
2021 · 12 citations
FedDANE: A Federated Newton-Type Method
2020 · 8 citations
On Data Efficiency of Meta-learning
2021
On Noisy Evaluation in Federated Hyperparameter Tuning
2022
Top co-authors
Virginia Smith
· 7
Mikhail Khodak
· 4
Manzil Zaheer
· 3
Maziar Sanjabi
· 3
Anit Kumar Sahu
· 2
H. Brendan McMahan
· 2
Jakub Konečný
· 2
Liam Li
· 2
Maria-Florina Balcan
· 2
Maruan Al-Shedivat
· 2
Sebastian Caldas
· 2
Tian Li
· 2
Topics
Federated Learning
Optimization
Communication
Data Heterogeneity
Privacy
Edge Computing