Karan N. Chadha

According to our database, Karan N. Chadha authored at least 10 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Resampling methods for Private Statistical Inference.

Karan N. Chadha, John C. Duchi, Rohith Kuditipudi

CoRR, 2024

Differentially Private Heavy Hitter Detection using Federated Analytics.

Karan N. Chadha, Junye Chen, John C. Duchi, Vitaly Feldman, Hanieh Hashemi, Omid Javidbakht, Audra McMillan, Kunal Talwar

Proceedings of the IEEE Conference on Secure and Trustworthy Machine Learning, 2024

2023

Federated Asymptotics: a model to compare federated learning algorithms.

Gary Cheng, Karan N. Chadha, John C. Duchi

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022

Accelerated, Optimal and Parallel: Some results on model-based stochastic optimization.

Karan N. Chadha, Gary Cheng, John C. Duchi

Proceedings of the International Conference on Machine Learning, 2022

Private optimization in the interpolation regime: faster rates and hardness results.

Hilal Asi, Karan N. Chadha, Gary Cheng, John C. Duchi

Proceedings of the International Conference on Machine Learning, 2022

2021

Efficiency fairness tradeoff in battery sharing.

Karan N. Chadha, Ankur A. Kulkarni, Jayakrishnan Nair

Oper. Res. Lett., 2021

Fine-tuning is Fine in Federated Learning.

Gary Cheng, Karan N. Chadha, John C. Duchi

CoRR, 2021

2020

Minibatch Stochastic Approximate Proximal Point Methods.

Hilal Asi, Karan N. Chadha, Gary Cheng, John C. Duchi

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019

Aggregate Play and Welfare in Strategic Interactions on Networks.

Karan N. Chadha, Ankur A. Kulkarni

CoRR, 2019

2018

On Independent Cliques and Linear Complementarity Problems.

Karan N. Chadha, Ankur A. Kulkarni

CoRR, 2018