Sai Praneeth Karimireddy

Sai Praneeth Karimireddy

École Polytechnique Fédérale de Lausanne

H-index: 23

Europe-Switzerland

About Sai Praneeth Karimireddy

Sai Praneeth Karimireddy, With an exceptional h-index of 23 and a recent h-index of 21 (since 2020), a distinguished researcher at École Polytechnique Fédérale de Lausanne, specializes in the field of Machine Learning, Optimization, Federated learning, Collaborative learning, Economics of data.

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

Privacy Can Arise Endogenously in an Economic System with Learning Agents

Data Acquisition via Experimental Design for Decentralized Data Markets

My-This-Your-That-Interpretable Identification of Systematic Bias in Federated Learning for Biomedical Images

Collaborative Heterogeneous Causal Inference Beyond Meta-analysis

Scaff-PD: Communication Efficient Fair and Robust Federated Learning

Provably Personalized and Robust Federated Learning

Evaluating and Incentivizing Diverse Data Contributions in Collaborative Learning

Federated Conformal Predictors for Distributed Uncertainty Quantification

Sai Praneeth Karimireddy Information

University

Position

PhD student

Citations(all)

4364

Citations(since 2020)

4329

Cited By

557

hIndex(all)

23

hIndex(since 2020)

21

i10Index(all)

27

i10Index(since 2020)

26

Email

University Profile Page

École Polytechnique Fédérale de Lausanne

Google Scholar

View Google Scholar Profile

Sai Praneeth Karimireddy Skills & Research Interests

Machine Learning

Optimization

Federated learning

Collaborative learning

Economics of data

Top articles of Sai Praneeth Karimireddy

Title

Journal

Author(s)

Publication Date

Privacy Can Arise Endogenously in an Economic System with Learning Agents

arXiv preprint arXiv:2404.10767

Nivasini Ananthakrishnan

Tiffany Ding

Mariel Werner

Sai Praneeth Karimireddy

Michael I Jordan

2024/4/16

Data Acquisition via Experimental Design for Decentralized Data Markets

arXiv preprint arXiv:2403.13893

Charles Lu

Baihe Huang

Sai Praneeth Karimireddy

Praneeth Vepakomma

Michael Jordan

...

2024/3/20

My-This-Your-That-Interpretable Identification of Systematic Bias in Federated Learning for Biomedical Images

Mary-Anne Hartley

Klavdiia Naumova

Arnout Devos

Sai Karimireddy

Martin Jaggi

2024/2/1

Collaborative Heterogeneous Causal Inference Beyond Meta-analysis

arXiv preprint arXiv:2404.15746

Tianyu Guo

Sai Praneeth Karimireddy

Michael I Jordan

2024/4/24

Scaff-PD: Communication Efficient Fair and Robust Federated Learning

arXiv preprint arXiv:2307.13381

Yaodong Yu

Sai Praneeth Karimireddy

Yi Ma

Michael I Jordan

2023/7/25

Provably Personalized and Robust Federated Learning

TMLR

Mariel Werner

Lie He

Sai Praneeth Karimireddy

Michael Jordan

Martin Jaggi

2023/6/14

Evaluating and Incentivizing Diverse Data Contributions in Collaborative Learning

arXiv preprint arXiv:2306.05592

Baihe Huang

Sai Praneeth Karimireddy

Michael I Jordan

2023/6/8

Federated Conformal Predictors for Distributed Uncertainty Quantification

Charles Lu

Yaodong Yu

Sai Praneeth Karimireddy

Michael Jordan

Ramesh Raskar

2023/7/3

International Workshop on Federated Learning in the Age of Foundation Models

Jinghui Chen

Lixin Fan

Gauri Joshi

Sai Praneeth Karimireddy

Stacy Patterson

...

2023/12/16

Online Learning in a Creator Economy

arXiv preprint arXiv:2305.11381

Banghua Zhu

Sai Praneeth Karimireddy

Jiantao Jiao

Michael I Jordan

2023/5/19

Federated Learning Showdown: The Comparative Analysis of Federated Learning Frameworks

Sai Praneeth Karimireddy

Narasimha Raghavan Veeraragavan

Severin Elvatun

Jan F Nygård

2023/9/18

FLamby: Datasets and Benchmarks for Cross-Silo Federated Learning in Realistic Healthcare Settings

Advances in Neural Information Processing Systems

Jean Ogier du Terrail

Samy-Safwan Ayed

Edwige Cyffers

Felix Grimberg

Chaoyang He

...

2022/12/6

Mechanisms that Incentivize Data Sharing in Federated Learning

Sai Praneeth Karimireddy

Wenshuo Guo

Michael I Jordan

2022/12

Optimization with access to auxiliary information

arXiv preprint arXiv:2206.00395

El Mahdi Chayti

Sai Praneeth Karimireddy

2022/6/1

Agree to Disagree: Diversity through Disagreement for Better Transferability

Matteo Pagliardini

Martin Jaggi

François Fleuret

Sai Praneeth Karimireddy

2023

TCT: Convexifying Federated Learning using Bootstrapped Neural Tangent Kernels

Advances in Neural Information Processing Systems

Yaodong Yu

Alexander Wei

Sai Praneeth Karimireddy

Yi Ma

Michael Jordan

2022/12/6

Byzantine-Robust Learning on Heterogeneous Datasets via Bucketing

Sai Praneeth Karimireddy

Lie He

Martin Jaggi

2022

Towards Model Agnostic Federated Learning Using Knowledge Distillation

ICLR 2022 - International Conference on Learning Representations

Andrei Afonin

Sai Praneeth Karimireddy

2021/10/28

Optimal Model Averaging: Towards Personalized Collaborative Learning

arXiv preprint arXiv:2110.12946

Felix Grimberg

Mary-Anne Hartley

Sai P Karimireddy

Martin Jaggi

2021/10/25

RelaySum for Decentralized Deep Learning on Heterogeneous Data

Advances in Neural Information Processing Systems

Thijs Vogels

Lie He

Anastasiia Koloskova

Sai Praneeth Karimireddy

Tao Lin

...

2021/12/6

See List of Professors in Sai Praneeth Karimireddy University(École Polytechnique Fédérale de Lausanne)

Co-Authors

H-index: 203
Michael I. Jordan

Michael I. Jordan

University of California, Berkeley

H-index: 65
Suvrit Sra

Suvrit Sra

Massachusetts Institute of Technology

H-index: 50
Martin Jaggi

Martin Jaggi

École Polytechnique Fédérale de Lausanne

H-index: 31
Sebastian Urban Stich

Sebastian Urban Stich

École Polytechnique Fédérale de Lausanne

H-index: 21
Tao LIN

Tao LIN

École Polytechnique Fédérale de Lausanne

H-index: 15
Jingzhao Zhang

Jingzhao Zhang

Massachusetts Institute of Technology

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