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A Field Guide to Federated Optimization


Jul 14, 2021
Jianyu Wang, Zachary Charles, Zheng Xu, Gauri Joshi, H. Brendan McMahan, Blaise Aguera y Arcas, Maruan Al-Shedivat, Galen Andrew, Salman Avestimehr, Katharine Daly, Deepesh Data, Suhas Diggavi, Hubert Eichner, Advait Gadhikar, Zachary Garrett, Antonious M. Girgis, Filip Hanzely, Andrew Hard, Chaoyang He, Samuel Horvath, Zhouyuan Huo, Alex Ingerman, Martin Jaggi, Tara Javidi, Peter Kairouz, Satyen Kale, Sai Praneeth Karimireddy, Jakub Konecny, Sanmi Koyejo, Tian Li, Luyang Liu, Mehryar Mohri, Hang Qi, Sashank J. Reddi, Peter Richtarik, Karan Singhal, Virginia Smith, Mahdi Soltanolkotabi, Weikang Song, Ananda Theertha Suresh, Sebastian U. Stich, Ameet Talwalkar, Hongyi Wang, Blake Woodworth, Shanshan Wu, Felix X. Yu, Honglin Yuan, Manzil Zaheer, Mi Zhang, Tong Zhang, Chunxiang Zheng, Chen Zhu, Wennan Zhu


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Federated Hyperparameter Tuning: Challenges, Baselines, and Connections to Weight-Sharing


Jun 08, 2021
Mikhail Khodak, Renbo Tu, Tian Li, Liam Li, Maria-Florina Balcan, Virginia Smith, Ameet Talwalkar


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You Only Group Once: Efficient Point-Cloud Processing with Token Representation and Relation Inference Module


Mar 24, 2021
Chenfeng Xu, Bohan Zhai, Bichen Wu, Tian Li, Wei Zhan, Peter Vajda, Kurt Keutzer, Masayoshi Tomizuka

* The code is available at https://github.com/chenfengxu714/YOGO.git 

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Heterogeneity for the Win: One-Shot Federated Clustering


Mar 01, 2021
Don Kurian Dennis, Tian Li, Virginia Smith


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Federated Multi-Task Learning for Competing Constraints


Dec 08, 2020
Tian Li, Shengyuan Hu, Ahmad Beirami, Virginia Smith


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Cross-Domain Sentiment Classification with In-Domain Contrastive Learning


Dec 05, 2020
Tian Li, Xiang Chen, Shanghang Zhang, Zhen Dong, Kurt Keutzer

* 10pages, 2 figures, accepted to NeurIPS 2020 Workshop on Self-supervised Learning. arXiv admin note: text overlap with arXiv:2010.16088 

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Cross-Domain Sentiment Classification with Contrastive Learning and Mutual Information Maximization


Nov 12, 2020
Tian Li, Xiang Chen, Shanghang Zhang, Zhen Dong, Kurt Keutzer

* 5 pages, 1 figure 

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Cross-Domain Sentiment Classification With Contrastive Learning and Mutual Information Maximization


Oct 30, 2020
Tian Li, Xiang Chen, Shanghang Zhang, Zhen Dong, Kurt Keutzer


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Tilted Empirical Risk Minimization


Jul 02, 2020
Tian Li, Ahmad Beirami, Maziar Sanjabi, Virginia Smith


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FedDANE: A Federated Newton-Type Method


Jan 07, 2020
Tian Li, Anit Kumar Sahu, Manzil Zaheer, Maziar Sanjabi, Ameet Talwalkar, Virginia Smith

* Asilomar Conference on Signals, Systems, and Computers 2019 

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Privacy for Free: Communication-Efficient Learning with Differential Privacy Using Sketches


Dec 06, 2019
Tian Li, Zaoxing Liu, Vyas Sekar, Virginia Smith


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Enhancing the Privacy of Federated Learning with Sketching


Nov 05, 2019
Zaoxing Liu, Tian Li, Virginia Smith, Vyas Sekar


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Federated Learning: Challenges, Methods, and Future Directions


Aug 21, 2019
Tian Li, Anit Kumar Sahu, Ameet Talwalkar, Virginia Smith


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Fair Resource Allocation in Federated Learning


May 25, 2019
Tian Li, Maziar Sanjabi, Virginia Smith


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LEAF: A Benchmark for Federated Settings


Jan 09, 2019
Sebastian Caldas, Peter Wu, Tian Li, Jakub Konečný, H. Brendan McMahan, Virginia Smith, Ameet Talwalkar


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On the Convergence of Federated Optimization in Heterogeneous Networks


Dec 14, 2018
Anit Kumar Sahu, Tian Li, Maziar Sanjabi, Manzil Zaheer, Ameet Talwalkar, Virginia Smith

* Preprint. Work in Progress 

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Ease.ml: Towards Multi-tenant Resource Sharing for Machine Learning Workloads


Aug 24, 2017
Tian Li, Jie Zhong, Ji Liu, Wentao Wu, Ce Zhang


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