Gauri Joshi

Gauri Joshi

Carnegie Mellon University

H-index: 34

North America-United States

About Gauri Joshi

Gauri Joshi, With an exceptional h-index of 34 and a recent h-index of 32 (since 2020), a distinguished researcher at Carnegie Mellon University, specializes in the field of applied probability, machine learning, information theory.

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

Federated Offline Reinforcement Learning: Collaborative Single-Policy Coverage Suffices

Efficient Reinforcement Learning for Routing Jobs in Heterogeneous Queueing Systems

Heterogeneous Low-Rank Approximation for Federated Fine-tuning of On-Device Foundation Models

FedFisher: Leveraging Fisher Information for One-Shot Federated Learning

On Improved Distributed Random Reshuffling over Networks

Correlation Aware Sparsified Mean Estimation Using Random Projection

Heterogeneous LoRA for Federated Fine-tuning of On-device Foundation Models

FedExP: Speeding up Federated Averaging Via Extrapolation

Gauri Joshi Information

University

Position

___

Citations(all)

9813

Citations(since 2020)

9280

Cited By

2063

hIndex(all)

34

hIndex(since 2020)

32

i10Index(all)

63

i10Index(since 2020)

59

Email

University Profile Page

Carnegie Mellon University

Google Scholar

View Google Scholar Profile

Gauri Joshi Skills & Research Interests

applied probability

machine learning

information theory

Top articles of Gauri Joshi

Title

Journal

Author(s)

Publication Date

Federated Offline Reinforcement Learning: Collaborative Single-Policy Coverage Suffices

arXiv preprint arXiv:2402.05876

Jiin Woo

Laixi Shi

Gauri Joshi

Yuejie Chi

2024/2/8

Efficient Reinforcement Learning for Routing Jobs in Heterogeneous Queueing Systems

arXiv preprint arXiv:2402.01147

Neharika Jali

Guannan Qu

Weina Wang

Gauri Joshi

2024/2/2

Heterogeneous Low-Rank Approximation for Federated Fine-tuning of On-Device Foundation Models

arXiv preprint arXiv:2401.06432

Yae Jee Cho

Luyang Liu

Zheng Xu

Aldi Fahrezi

Gauri Joshi

2024/1/12

FedFisher: Leveraging Fisher Information for One-Shot Federated Learning

Divyansh Jhunjhunwala

Shiqiang Wang

Gauri Joshi

2024/4/18

On Improved Distributed Random Reshuffling over Networks

Pranay Sharma

Jiarui Li

Gauri Joshi

2024/4/14

Correlation Aware Sparsified Mean Estimation Using Random Projection

Advances in Neural Information Processing Systems

Shuli Jiang

Pranay Sharma

Gauri Joshi

2024/2/13

Heterogeneous LoRA for Federated Fine-tuning of On-device Foundation Models

Yae Jee Cho

Luyang Liu

Zheng Xu

Aldi Fahrezi

Matt Barnes

...

2023/10/28

FedExP: Speeding up Federated Averaging Via Extrapolation

arXiv preprint arXiv:2301.09604

Divyansh Jhunjhunwala

Shiqiang Wang

Gauri Joshi

2023/1/23

On the convergence of federated averaging with cyclic client participation

Yae Jee Cho

Pranay Sharma

Gauri Joshi

Zheng Xu

Satyen Kale

...

2023/7/3

Optimized Tradeoffs for Private Majority Ensembling

Shuli Jiang

Qiuyi Zhang

Gauri Joshi

2023/10/13

Communication-Efficient and Model-Heterogeneous Personalized Federated Learning via Clustered Knowledge Transfer

IEEE Journal of Selected Topics in Signal Processing

Yae Jee Cho

Jianyu Wang

Tarun Chirvolu

Gauri Joshi

2023/1/6

Multi-Model Federated Learning with Provable Guarantees

Neelkamal Bhuyan

Sharayu Moharir

Gauri Joshi

2023/5/3

Local or Global: Selective Knowledge Assimilation for Federated Learning with Limited Labels

Yae Jee Cho

Gauri Joshi

Dimitrios Dimitriadis

2023

Runtime estimation for machine learning tasks

2023/8/15

Federated learning under distributed concept drift

Ellango Jothimurugesan

Kevin Hsieh

Jianyu Wang

Gauri Joshi

Phillip B Gibbons

2023/4/11

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

Federated Minimax Optimization with Client Heterogeneity

arXiv preprint arXiv:2302.04249

Pranay Sharma

Rohan Panda

Gauri Joshi

2023/2/8

Towards a Theoretical and Practical Understanding of One-Shot Federated Learning with Fisher Information

Divyansh Jhunjhunwala

Shiqiang Wang

Gauri Joshi

2023/7/21

High-probability Convergence Bounds for Nonlinear Stochastic Gradient Descent Under Heavy-tailed Noise

arXiv preprint arXiv:2310.18784

Aleksandar Armacki

Pranay Sharma

Gauri Joshi

Dragana Bajovic

Dusan Jakovetic

...

2023/10/28

FedLite: Improving Communication Efficiency in Federated Split Learning

Jianyu Wang

Hang Qi

Ankit Singh Rawat

Sashank J Reddi

Sagar M Waghmare

...

2023/2/1

See List of Professors in Gauri Joshi University(Carnegie Mellon University)

Co-Authors

H-index: 182
HV Poor

HV Poor

Princeton University

H-index: 68
Gregory Wornell

Gregory Wornell

Massachusetts Institute of Technology

H-index: 42
Emina Soljanin

Emina Soljanin

Rutgers, The State University of New Jersey

H-index: 32
Osman Yagan

Osman Yagan

Carnegie Mellon University

H-index: 17
Jianyu Wang

Jianyu Wang

Carnegie Mellon University

H-index: 15
Sanghamitra Dutta

Sanghamitra Dutta

Carnegie Mellon University

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