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Automatic Tuning of Federated Learning Hyper-Parameters from System Perspective


Oct 06, 2021
Huanle Zhang, Mi Zhang, Xin Liu, Prasant Mohapatra, Michael DeLucia


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Fair Clustering Using Antidote Data


Jun 01, 2021
Anshuman Chhabra, Adish Singla, Prasant Mohapatra


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Escaping Saddle-Points Faster under Interpolation-like Conditions


Sep 28, 2020
Abhishek Roy, Krishnakumar Balasubramanian, Saeed Ghadimi, Prasant Mohapatra

* To appear in NeurIPS, 2020 

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Towards Learning-automation IoT Attack Detection through Reinforcement Learning


Jun 29, 2020
Tianbo Gu, Allaukik Abhishek, Hao Fu, Huanle Zhang, Debraj Basu, Prasant Mohapatra

* 11 pages, 8 figures, 2 tables, to appear in the 21st IEEE International Symposium on a World of Wireless, Mobile and Multimedia Networks (IEEE WoWMoM 2020) 

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Fair Algorithms for Hierarchical Agglomerative Clustering


May 07, 2020
Anshuman Chhabra, Prasant Mohapatra


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Online and Bandit Algorithms for Nonstationary Stochastic Saddle-Point Optimization


Dec 03, 2019
Abhishek Roy, Yifang Chen, Krishnakumar Balasubramanian, Prasant Mohapatra


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Suspicion-Free Adversarial Attacks on Clustering Algorithms


Nov 16, 2019
Anshuman Chhabra, Abhishek Roy, Prasant Mohapatra

* AAAI 2020 Main Technical Conference 

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Multi-Point Bandit Algorithms for Nonstationary Online Nonconvex Optimization


Sep 11, 2019
Abhishek Roy, Krishnakumar Balasubramanian, Saeed Ghadimi, Prasant Mohapatra


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Strong Black-box Adversarial Attacks on Unsupervised Machine Learning Models


Jan 28, 2019
Anshuman Chhabra, Abhishek Roy, Prasant Mohapatra


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When to Reset Your Keys: Optimal Timing of Security Updates via Learning


Dec 02, 2016
Zizhan Zheng, Ness B. Shroff, Prasant Mohapatra

* 9 pages, 2 figures; accepted by the Thirty-First AAAI Conference on Artificial Intelligence (AAAI-17), San Francisco, CA, USA, Feb. 2017 

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