Differentially Private Heavy Hitter Detection using Federated Analytics.

Karan N. Chadha Karan N. Chadha Junye Chen John C. Duchi Vitaly Feldman Hanieh Hashemi Omid Javidbakht Audra McMillan Kunal Talwar Differentially Private Heavy Hitter Detection using Federated Analytics. 512-533 2024 SaTML https://doi.org/10.1109/SaTML59370.2024.00032 conf/satml/2024 db/conf/satml/satml2024.html#ChadhaCDFHJMT24

Karan N. Chadha John C. Duchi Rohith Kuditipudi Resampling methods for Private Statistical Inference. 2024 abs/2402.07131 CoRR https://doi.org/10.48550/arXiv.2402.07131 db/journals/corr/corr2402.html#abs-2402-07131

Gary Cheng 0004 Karan N. Chadha John C. Duchi Federated Asymptotics: a model to compare federated learning algorithms. 10650-10689 2023 AISTATS https://proceedings.mlr.press/v206/cheng23b.html conf/aistats/2023 db/conf/aistats/aistats2023.html#0004CD23

Karan N. Chadha Junye Chen John C. Duchi Vitaly Feldman Hanieh Hashemi Omid Javidbakht Audra McMillan Kunal Talwar Differentially Private Heavy Hitter Detection using Federated Analytics. 2023 abs/2307.11749 CoRR https://doi.org/10.48550/arXiv.2307.11749 db/journals/corr/corr2307.html#abs-2307-11749

Hilal Asi Karan N. Chadha Gary Cheng 0004 John C. Duchi Private optimization in the interpolation regime: faster rates and hardness results. 1025-1045 2022 ICML https://proceedings.mlr.press/v162/asi22a.html conf/icml/2022 db/conf/icml/icml2022.html#AsiC0D22 Karan N. Chadha Gary Cheng 0004 John C. Duchi Accelerated, Optimal and Parallel: Some results on model-based stochastic optimization. 2811-2827 2022 ICML https://proceedings.mlr.press/v162/chadha22a.html conf/icml/2022 db/conf/icml/icml2022.html#Chadha0D22

Hilal Asi Karan N. Chadha Gary Cheng 0004 John C. Duchi Private optimization in the interpolation regime: faster rates and hardness results. 2022 abs/2210.17070 CoRR https://doi.org/10.48550/arXiv.2210.17070 db/journals/corr/corr2210.html#abs-2210-17070

Karan N. Chadha Ankur A. Kulkarni Jayakrishnan Nair 0001 Efficiency fairness tradeoff in battery sharing. 377-384 2021 49 Oper. Res. Lett. 3 https://doi.org/10.1016/j.orl.2021.04.002 db/journals/orl/orl49.html#ChadhaKN21

Karan N. Chadha Gary Cheng 0004 John C. Duchi Accelerated, Optimal, and Parallel: Some Results on Model-Based Stochastic Optimization. 2021 abs/2101.02696 CoRR https://arxiv.org/abs/2101.02696 db/journals/corr/corr2101.html#abs-2101-02696

Gary Cheng 0004 Karan N. Chadha John C. Duchi Fine-tuning is Fine in Federated Learning. 2021 abs/2108.07313 CoRR https://arxiv.org/abs/2108.07313 db/journals/corr/corr2108.html#abs-2108-07313

Hilal Asi Karan N. Chadha Gary Cheng 0004 John C. Duchi Minibatch Stochastic Approximate Proximal Point Methods. 2020 NeurIPS https://proceedings.neurips.cc/paper/2020/hash/fa2246fa0fdf0d3e270c86767b77ba1b-Abstract.html conf/nips/2020 db/conf/nips/neurips2020.html#AsiCCD20

Karan N. Chadha Ankur A. Kulkarni Aggregate Play and Welfare in Strategic Interactions on Networks. 2019 abs/1906.07630 CoRR http://arxiv.org/abs/1906.07630 db/journals/corr/corr1906.html#abs-1906-07630

Karan N. Chadha Ankur A. Kulkarni Jayakrishnan Nair 0001 Efficiency Fairness Tradeoff in Battery Sharing. 2019 abs/1908.00699 CoRR http://arxiv.org/abs/1908.00699 db/journals/corr/corr1908.html#abs-1908-00699

Karan N. Chadha Ankur A. Kulkarni On Independent Cliques and Linear Complementarity Problems. 2018 abs/1811.09798 CoRR http://arxiv.org/abs/1811.09798 db/journals/corr/corr1811.html#abs-1811-09798

Hilal Asi Junye Chen Gary Cheng 0004 John C. Duchi Vitaly Feldman Hanieh Hashemi Omid Javidbakht Rohith Kuditipudi Ankur A. Kulkarni Audra McMillan Jayakrishnan Nair 0001 Kunal Talwar