Suhas Diggavi

Suhas Diggavi

University of California, Los Angeles

H-index: 52

North America-United States

About Suhas Diggavi

Suhas Diggavi, With an exceptional h-index of 52 and a recent h-index of 31 (since 2020), a distinguished researcher at University of California, Los Angeles,

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

Multi-message shuffled privacy in federated learning

FOCAL: Contrastive learning for multimodal time-series sensing signals in factorized orthogonal latent space

Differentially private stochastic linear bandits:(almost) for free

Decentralized multi-task stochastic optimization with compressed communications

Improving group testing via gradient descent

On the Efficiency and Robustness of Vibration-based Foundation Models for IoT Sensing: A Case Study

Hierarchical Bayes Approach to Personalized Federated Unsupervised Learning

Communication Efficient Distributed Learning

Suhas Diggavi Information

University

Position

___

Citations(all)

13184

Citations(since 2020)

4599

Cited By

10432

hIndex(all)

52

hIndex(since 2020)

31

i10Index(all)

190

i10Index(since 2020)

78

Email

University Profile Page

University of California, Los Angeles

Google Scholar

View Google Scholar Profile

Top articles of Suhas Diggavi

Title

Journal

Author(s)

Publication Date

Multi-message shuffled privacy in federated learning

IEEE Journal on Selected Areas in Information Theory

Antonious M Girgis

Suhas Diggavi

2024/2/15

FOCAL: Contrastive learning for multimodal time-series sensing signals in factorized orthogonal latent space

Advances in Neural Information Processing Systems

Shengzhong Liu

Tomoyoshi Kimura

Dongxin Liu

Ruijie Wang

Jinyang Li

...

2024/2/13

Differentially private stochastic linear bandits:(almost) for free

IEEE Journal on Selected Areas in Information Theory

Osama Hanna

Antonious M Girgis

Christina Fragouli

Suhas Diggavi

2024/4/16

Decentralized multi-task stochastic optimization with compressed communications

Automatica

Navjot Singh

Xuanyu Cao

Suhas Diggavi

Tamer Başar

2024/1/1

Improving group testing via gradient descent

IEEE Journal on Selected Areas in Information Theory

Sundara Rajan Srinivasavaradhan

Pavlos Nikolopoulos

Christina Fragouli

Suhas Diggavi

2024/4/15

On the Efficiency and Robustness of Vibration-based Foundation Models for IoT Sensing: A Case Study

arXiv preprint arXiv:2404.02461

Tomoyoshi Kimura

Jinyang Li

Tianshi Wang

Denizhan Kara

Yizhuo Chen

...

2024/4/3

Hierarchical Bayes Approach to Personalized Federated Unsupervised Learning

arXiv preprint arXiv:2402.12537

Kaan Ozkara

Bruce Huang

Ruida Zhou

Suhas Diggavi

2024/2/19

Communication Efficient Distributed Learning

Navjot Singh

Deepesh Data

Suhas Diggavi

2023/8/4

Byzantine-resilient high-dimensional federated learning

IEEE Transactions on Information Theory

Deepesh Data

Suhas Diggavi

2023/6/9

Distributed Mean Estimation for Multi-Message Shuffled Privacy

Antonious M Girgis

Suhas Diggavi

2023/7/21

Guest Editorial Communication-Efficient Distributed Learning Over Networks

IEEE journal on selected areas in communications

Xuanyu Cao

Tamer Başar

Suhas Diggavi

Yonina C Eldar

Khaled B Letaief

...

2023/3/17

Community-aware group testing

IEEE Transactions on Information Theory

Pavlos Nikolopoulos

Sundara Rajan Srinivasavaradhan

Tao Guo

Christina Fragouli

Suhas Diggavi

2023/3/1

Personalized pca for federated heterogeneous data

Kaan Ozkara

Bruce Huang

Suhas Diggavi

2023/6/25

Feature Compression for Multimodal Multi-Object Tracking

Xinlin Li

Osama A Hanna

Christina Fragouli

Suhas Diggavi

Gunjan Verma

...

2023/10/30

Communication-efficient distributed learning: An overview

Xuanyu Cao

Tamer Başar

Suhas Diggavi

Yonina C Eldar

Khaled B Letaief

...

2023/2/6

Representation Transfer Learning via Multiple Pre-trained models for Linear Regression

Navjot Singh

Suhas Diggavi

2023/6/25

Failure-Resilient ML Inference at the Edge through Graceful Service Degradation

Walid A Hanafy

Li Wu

Tarek Abdelzaher

Suhas Diggavi

Prashant Shenoy

2023/10/30

Coded estimation: Design of backscatter array codes for 3d orientation estimation

IEEE Transactions on Wireless Communications

Mohamad Rida Rammal

Suhas Diggavi

Ashutosh Sabharwal

2023/1/24

HQAlign: aligning nanopore reads for SV detection using current-level modeling

Bioinformatics

Dhaivat Joshi

Suhas Diggavi

Mark JP Chaisson

Sreeram Kannan

2023/10/1

Common information dimension

Osama A Hanna

Xinlin Li

Suhas Diggavi

Christina Fragouli

2023/6/25

See List of Professors in Suhas Diggavi University(University of California, Los Angeles)