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Mehrdad Mahdavi
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Local SGD Optimizes Overparameterized Neural Networks in Polynomial Time


Jul 22, 2021
Yuyang Deng, Mehrdad Mahdavi

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Pareto Efficient Fairness in Supervised Learning: From Extraction to Tracing


Apr 04, 2021
Mohammad Mahdi Kamani, Rana Forsati, James Z. Wang, Mehrdad Mahdavi

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On the Importance of Sampling in Learning Graph Convolutional Networks


Mar 03, 2021
Weilin Cong, Morteza Ramezani, Mehrdad Mahdavi

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Local Stochastic Gradient Descent Ascent: Convergence Analysis and Communication Efficiency


Feb 25, 2021
Yuyang Deng, Mehrdad Mahdavi

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* This paper has been accepted to AISTATS 2021 
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Distributionally Robust Federated Averaging


Feb 25, 2021
Yuyang Deng, Mohammad Mahdi Kamani, Mehrdad Mahdavi

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* Advances in Neural Information Processing Systems (NeurIPS), Vol. 33, 2020 
 * Published in NeurIPS 2020: https://proceedings.neurips.cc/paper/2020/hash/ac450d10e166657ec8f93a1b65ca1b14-Abstract.html 
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Communication-efficient k-Means for Edge-based Machine Learning


Feb 08, 2021
Hanlin Lu, Ting He, Shiqiang Wang, Changchang Liu, Mehrdad Mahdavi, Vijaykrishnan Narayanan, Kevin S. Chan, Stephen Pasteris

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Online Structured Meta-learning


Oct 22, 2020
Huaxiu Yao, Yingbo Zhou, Mehrdad Mahdavi, Zhenhui Li, Richard Socher, Caiming Xiong

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* Accepted by NeurIPS 2020 
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Federated Learning with Compression: Unified Analysis and Sharp Guarantees


Jul 02, 2020
Farzin Haddadpour, Mohammad Mahdi Kamani, Aryan Mokhtari, Mehrdad Mahdavi

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* 52 pages 
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Minimal Variance Sampling with Provable Guarantees for Fast Training of Graph Neural Networks


Jun 24, 2020
Weilin Cong, Rana Forsati, Mahmut Kandemir, Mehrdad Mahdavi

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Adaptive Personalized Federated Learning


Mar 30, 2020
Yuyang Deng, Mohammad Mahdi Kamani, Mehrdad Mahdavi

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