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Bring Your Own Algorithm for Optimal Differentially Private Stochastic Minimax Optimization



Liang Zhang , Kiran Koshy Thekumparampil , Sewoong Oh , Niao He


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Towards a Defense against Backdoor Attacks in Continual Federated Learning



Shuaiqi Wang , Jonathan Hayase , Giulia Fanti , Sewoong Oh


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DP-PCA: Statistically Optimal and Differentially Private PCA



Xiyang Liu , Weihao Kong , Prateek Jain , Sewoong Oh


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MAML and ANIL Provably Learn Representations



Liam Collins , Aryan Mokhtari , Sewoong Oh , Sanjay Shakkottai


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Lifted Primal-Dual Method for Bilinearly Coupled Smooth Minimax Optimization



Kiran Koshy Thekumparampil , Niao He , Sewoong Oh

* Submitted for review on Oct 15, 2021. Accepted to AISTATS 2022 on Jan 18, 2022 

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Gradient flows on graphons: existence, convergence, continuity equations



Sewoong Oh , Soumik Pal , Raghav Somani , Raghav Tripathi

* 40 pages, 2 figures 

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Differential privacy and robust statistics in high dimensions



Xiyang Liu , Weihao Kong , Sewoong Oh


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Gradient Inversion with Generative Image Prior



Jinwoo Jeon , Jaechang Kim , Kangwook Lee , Sewoong Oh , Jungseul Ok

* Accepted to NeurIPS 2021 

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KO codes: Inventing Nonlinear Encoding and Decoding for Reliable Wireless Communication via Deep-learning



Ashok Vardhan Makkuva , Xiyang Liu , Mohammad Vahid Jamali , Hessam Mahdavifar , Sewoong Oh , Pramod Viswanath


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