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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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