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Ameet Talwalkar — most-cited papers & profile · Federated Learning
← authors
·
overview
Ameet Talwalkar
23
papers ·
1095
citations ·
45
h-index
Carnegie Mellon University
Google Scholar ↗
Semantic Scholar ↗
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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
Federated Learning: Challenges, Methods, and Future Directions
2019
On Data Efficiency of Meta-learning
2021
On Noisy Evaluation in Federated Hyperparameter Tuning
2022
Top co-authors
Virginia Smith
· 8
Tian Li
· 5
Anit Kumar Sahu
· 3
Manzil Zaheer
· 3
Maziar Sanjabi
· 3
Maria-Florina Balcan
· 2
Andrew Hard
· 1
Blaise Aguera y Arcas
· 1
Chaoyang He
· 1
Chen Zhu
· 1
Daniel Jiang
· 1
Eric Xing
· 1
Topics
Federated Learning
Optimization
Data Heterogeneity
Communication
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Edge Computing