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Deepesh Data

Deepesh Data

University of California, Los Angeles

H-index: 17

North America-United States

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About Deepesh Data

Deepesh Data, With an exceptional h-index of 17 and a recent h-index of 16 (since 2020), a distinguished researcher at University of California, Los Angeles, specializes in the field of Federated Machine Learning, Differential Privacy, Cryptography, Information Theory, Algorithms.

His recent articles reflect a diverse array of research interests and contributions to the field:

Communication Efficient Distributed Learning

Must the communication graph of MPC protocols be an expander?

Byzantine-resilient high-dimensional federated learning

Decentralized Learning Robust to Data Poisoning Attacks

A statistical framework for personalized federated learning and estimation: Theory, algorithms, and privacy

A generative framework for personalized learning and estimation: Theory, algorithms, and privacy

Distributed user-level private mean estimation

Flexible Accuracy for Differential Privacy

Deepesh Data Information

University

Position

Postdoctoral Scholar at USA

Citations(all)

1161

Citations(since 2020)

1123

Cited By

206

hIndex(all)

17

hIndex(since 2020)

16

i10Index(all)

17

i10Index(since 2020)

16

Email

University Profile Page

Google Scholar

Deepesh Data Skills & Research Interests

Federated Machine Learning

Differential Privacy

Cryptography

Information Theory

Algorithms

Top articles of Deepesh Data

Communication Efficient Distributed Learning

2023/8/4

Navjot Singh
Navjot Singh

H-Index: 1

Deepesh Data
Deepesh Data

H-Index: 7

Suhas Diggavi
Suhas Diggavi

H-Index: 27

Must the communication graph of MPC protocols be an expander?

Journal of Cryptology

2023/7

Ran Cohen
Ran Cohen

H-Index: 7

Deepesh Data
Deepesh Data

H-Index: 7

Pavel Hubáček
Pavel Hubáček

H-Index: 9

Byzantine-resilient high-dimensional federated learning

IEEE Transactions on Information Theory

2023/6/9

Deepesh Data
Deepesh Data

H-Index: 7

Suhas Diggavi
Suhas Diggavi

H-Index: 27

Decentralized Learning Robust to Data Poisoning Attacks

2022/12/6

Yanwen Mao
Yanwen Mao

H-Index: 1

Deepesh Data
Deepesh Data

H-Index: 7

Suhas Diggavi
Suhas Diggavi

H-Index: 27

Paulo Tabuada
Paulo Tabuada

H-Index: 42

A statistical framework for personalized federated learning and estimation: Theory, algorithms, and privacy

2022/9/29

Kaan Ozkara
Kaan Ozkara

H-Index: 0

Deepesh Data
Deepesh Data

H-Index: 7

Suhas Diggavi
Suhas Diggavi

H-Index: 27

A generative framework for personalized learning and estimation: Theory, algorithms, and privacy

arXiv preprint arXiv:2207.01771

2022/7/5

Kaan Ozkara
Kaan Ozkara

H-Index: 0

Deepesh Data
Deepesh Data

H-Index: 7

Suhas Diggavi
Suhas Diggavi

H-Index: 27

Distributed user-level private mean estimation

2022/6/26

Deepesh Data
Deepesh Data

H-Index: 7

Suhas Diggavi
Suhas Diggavi

H-Index: 27

Flexible Accuracy for Differential Privacy

2022/5/3

Aman Bansal
Aman Bansal

H-Index: 0

Deepesh Data
Deepesh Data

H-Index: 7

Manoj Prabhakaran
Manoj Prabhakaran

H-Index: 23

Quped: Quantized personalization via distillation with applications to federated learning

Advances in Neural Information Processing Systems

2021/12/6

Kaan Ozkara
Kaan Ozkara

H-Index: 0

Navjot Singh
Navjot Singh

H-Index: 1

Deepesh Data
Deepesh Data

H-Index: 7

Suhas Diggavi
Suhas Diggavi

H-Index: 27

On the renyi differential privacy of the shuffle model

2021/11/12

Deepesh Data
Deepesh Data

H-Index: 7

Suhas Diggavi
Suhas Diggavi

H-Index: 27

SQuARM-SGD: Communication-efficient momentum SGD for decentralized optimization

IEEE Journal on Selected Areas in Information Theory

2021/8/13

Navjot Singh
Navjot Singh

H-Index: 1

Deepesh Data
Deepesh Data

H-Index: 7

Suhas Diggavi
Suhas Diggavi

H-Index: 27

A field guide to federated optimization

arXiv preprint arXiv:2107.06917

2021/7/14

Jianyu Wang
Jianyu Wang

H-Index: 5

Zheng Xu
Zheng Xu

H-Index: 6

Gauri Joshi
Gauri Joshi

H-Index: 17

Maruan Al-Shedivat
Maruan Al-Shedivat

H-Index: 14

Salman Avestimehr
Salman Avestimehr

H-Index: 34

Deepesh Data
Deepesh Data

H-Index: 7

Suhas Diggavi
Suhas Diggavi

H-Index: 27

Filip Hanzely
Filip Hanzely

H-Index: 11

Samuel Horvath
Samuel Horvath

H-Index: 6

Martin Jaggi
Martin Jaggi

H-Index: 33

Tara Javidi
Tara Javidi

H-Index: 22

Sai Praneeth Karimireddy
Sai Praneeth Karimireddy

H-Index: 11

Sanmi Koyejo
Sanmi Koyejo

H-Index: 18

Tian Li
Tian Li

H-Index: 12

Hang Qi
Hang Qi

H-Index: 1

Peter Richtarik
Peter Richtarik

H-Index: 41

Virginia Smith
Virginia Smith

H-Index: 7

Mahdi Soltanolkotabi
Mahdi Soltanolkotabi

H-Index: 25

Ameet Talwalkar
Ameet Talwalkar

H-Index: 36

Hongyi Wang
Hongyi Wang

H-Index: 8

Blake Woodworth
Blake Woodworth

H-Index: 12

Shanshan Wu
Shanshan Wu

H-Index: 6

Honglin Yuan
Honglin Yuan

H-Index: 2

Mi Zhang
Mi Zhang

H-Index: 0

Tong Zhang
Tong Zhang

H-Index: 20

Chen Zhu
Chen Zhu

H-Index: 11

Byzantine-resilient SGD in high dimensions on heterogeneous data

2021/7/12

Deepesh Data
Deepesh Data

H-Index: 7

Suhas Diggavi
Suhas Diggavi

H-Index: 27

Differentially private federated learning with shuffling and client self-sampling

2021/7/12

Deepesh Data
Deepesh Data

H-Index: 7

Suhas Diggavi
Suhas Diggavi

H-Index: 27

Shuffled model of differential privacy in federated learning

2021/3/18

Deepesh Data
Deepesh Data

H-Index: 7

Suhas Diggavi
Suhas Diggavi

H-Index: 27

QuPeL: Quantized personalization with applications to federated learning

arXiv preprint arXiv:2102.11786

2021/2/23

Kaan Ozkara
Kaan Ozkara

H-Index: 0

Navjot Singh
Navjot Singh

H-Index: 1

Deepesh Data
Deepesh Data

H-Index: 7

Suhas Diggavi
Suhas Diggavi

H-Index: 27

Shuffled model of federated learning: Privacy, accuracy and communication trade-offs

IEEE journal on selected areas in information theory

2021/2/2

Deepesh Data
Deepesh Data

H-Index: 7

Suhas Diggavi
Suhas Diggavi

H-Index: 27

Byzantine-Resilient High-Dimensional SGD with Local Iterations on Heterogeneous Data

2021/7/1

Deepesh Data
Deepesh Data

H-Index: 7

Suhas Diggavi
Suhas Diggavi

H-Index: 27

Successive refinement of privacy

IEEE Journal on Selected Areas in Information Theory

2020/11/25

Deepesh Data
Deepesh Data

H-Index: 7

Kamalika Chaudhuri
Kamalika Chaudhuri

H-Index: 32

Christina Fragouli
Christina Fragouli

H-Index: 21

Data encoding for byzantine-resilient distributed optimization

IEEE Transactions on Information Theory

2020/11/4

Deepesh Data
Deepesh Data

H-Index: 7

Linqi Song
Linqi Song

H-Index: 11

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