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Alternating Direction Method of Multipliers for Quantization

Sep 08, 2020
Tianjian Huang, Prajwal Singhania, Maziar Sanjabi, Pabitra Mitra, Meisam Razaviyayn


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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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When Does Non-Orthogonal Tensor Decomposition Have No Spurious Local Minima?

Nov 22, 2019
Maziar Sanjabi, Sina Baharlouei, Meisam Razaviyayn, Jason D. Lee


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Fair Resource Allocation in Federated Learning

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


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Training generative networks using random discriminators

Apr 22, 2019
Babak Barazandeh, Meisam Razaviyayn, Maziar Sanjabi


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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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Solving Non-Convex Non-Concave Min-Max Games Under Polyak-Ɓojasiewicz Condition

Dec 07, 2018
Maziar Sanjabi, Meisam Razaviyayn, Jason D. Lee


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On the Convergence and Robustness of Training GANs with Regularized Optimal Transport

May 22, 2018
Maziar Sanjabi, Jimmy Ba, Meisam Razaviyayn, Jason D. Lee


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Federated Multi-Task Learning

Feb 27, 2018
Virginia Smith, Chao-Kai Chiang, Maziar Sanjabi, Ameet Talwalkar


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