John Rush

Publication Activity (10 Years)

Years Active: 2000-2023
Publications (10 Years): 4

Top Topics

Learning Mechanism

Privacy Preservation

Differentially Private

Top Venues

Publications

Christopher A. Choquette-Choo, Arun Ganesh, Ryan McKenna, H. Brendan McMahan, John Rush, Abhradeep Guha Thakurta, Zheng Xu
(Amplified) Banded Matrix Factorization: A unified approach to private training. NeurIPS (2023)
Sergey Denisov, H. Brendan McMahan, John Rush, Adam D. Smith, Abhradeep Guha Thakurta
Improved Differential Privacy for SGD via Optimal Private Linear Operators on Adaptive Streams. NeurIPS (2022)
Karan Singhal, Hakim Sidahmed, Zachary Garrett, Shanshan Wu, John Rush, Sushant Prakash
Federated Reconstruction: Partially Local Federated Learning. NeurIPS (2021)
Prateek Jain, John Rush, Adam D. Smith, Shuang Song, Abhradeep Guha Thakurta
Differentially Private Model Personalization. NeurIPS (2021)
Ting Chen, Ming-Yang Kao, Matthew Tepel, John Rush, George M. Church
A Dynamic Programming Approach to De Novo Peptide Sequencing via Tandem Mass Spectrometry. J. Comput. Biol. 8 (3) (2001)
Ting Chen, Ming-Yang Kao, Matthew Tepel, John Rush, George M. Church
A Dynamic Programming Approach to De Novo Peptide Sequencing via Tandem Mass Spectrometry CoRR (2001)
Ting Chen, Ming-Yang Kao, Matthew Tepel, John Rush, George M. Church
A dynamic programming approach to de novo peptide sequencing via tandem mass spectrometry. SODA (2000)