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Federated Optimization in Heterogeneous Networks
- Anit Kumar Sahu, Tian Li, Maziar Sanjabi, M. Zaheer, Ameet S. Talwalkar, Virginia Smith
- Computer ScienceMLSys
- 14 December 2018
TLDR
LEAF: A Benchmark for Federated Settings
- S. Caldas, Peter Wu, Ameet S. Talwalkar
- Computer ScienceArXiv
- 3 December 2018
TLDR
Federated Learning: Challenges, Methods, and Future Directions
- Tian Li, Anit Kumar Sahu, Ameet S. Talwalkar, Virginia Smith
- Computer ScienceIEEE Signal Processing Magazine
- 21 August 2019
TLDR
Federated Multi-Task Learning
- Virginia Smith, Chao-Kai Chiang, Maziar Sanjabi, Ameet S. Talwalkar
- Computer ScienceNIPS
- 30 May 2017
TLDR
Fair Resource Allocation in Federated Learning
- Tian Li, Maziar Sanjabi, Virginia Smith
- Computer ScienceICLR
- 25 May 2019
TLDR
Communication-Efficient Distributed Dual Coordinate Ascent
- Martin Jaggi, Virginia Smith, Michael I. Jordan
- Computer ScienceNIPS
- 4 September 2014
TLDR
Ditto: Fair and Robust Federated Learning Through Personalization
- Tian Li, Shengyuan Hu, A. Beirami, Virginia Smith
- Computer ScienceICML
- 8 December 2020
TLDR
On the Convergence of Federated Optimization in Heterogeneous Networks
- Anit Kumar Sahu, Tian Li, Maziar Sanjabi, M. Zaheer, Ameet S. Talwalkar, Virginia Smith
- Computer ScienceArXiv
- 14 December 2018
TLDR
Adding vs. Averaging in Distributed Primal-Dual Optimization
- Chenxin Ma, Virginia Smith, Martin Jaggi, Michael I. Jordan, Peter Richtárik, Martin Takác
- Computer ScienceICML
- 11 February 2015
TLDR
MLI: An API for Distributed Machine Learning
- Evan R. Sparks, Ameet S. Talwalkar, Tim Kraska
- Computer ScienceIEEE 13th International Conference on Data Mining
- 20 October 2013
TLDR
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