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papers

Publications (106)

cs.LG2024

Reframing Data Value for Large Language Models Through the Lens of Plausibility

Mohamad Rida Rammal, Ruida Zhou, Suhas Diggavi

stat.ME2021

Dynamic group testing to control and monitor disease progression in a population

Sundara Rajan Srinivasavaradhan, Pavlos Nikolopoulos, Christina Fragouli +1

cs.LG2025

ADEPT: Hierarchical Bayes Approach to Personalized Federated Unsupervised Learning

Kaan Ozkara, Bruce Huang, Ruida Zhou +1

cs.IT2014

Harnessing Bursty Interference in Multicarrier Systems with Feedback

Shaunak Mishra, I-Hsiang Wang, Suhas Diggavi

cs.IT2007

Multiuser Successive Refinement and Multiple Description Coding

Chao Tian, Jun Chen, Suhas Diggavi

cs.IT2013

Coding with Encoding Uncertainty

Jad Hachem, I-Hsiang Wang, Christina Fragouli +1

cs.IT2016

A Layered Caching Architecture for the Interference Channel

Jad Hachem, Urs Niesen, Suhas Diggavi

cs.LG2021

QuPeL: Quantized Personalization with Applications to Federated Learning

Kaan Ozkara, Navjot Singh, Deepesh Data +1

cs.IT2015

On the Oblivious Transfer Capacity of the Degraded Wiretapped Binary Erasure Channel

Manoj Mishra, Bikash Kumar Dey, Vinod M. Prabhakaran +1

cs.IT2014

Secret Communication over Broadcast Erasure Channels with State-feedback

László Czap, Vinod M. Prabhakaran, Christina Fragouli +1

cs.IT2013

Using Feedback for Secrecy over Graphs

Shaunak Mishra, Christina Fragouli, Vinod Prabhakaran +1

cs.IT2006

On Multistage Successive Refinement for Wyner-Ziv Source Coding with Degraded Side Informations

Chao Tian, Suhas Diggavi

cs.AI2025

InfoMAE: Pair-Efficient Cross-Modal Alignment for Multimodal Time-Series Sensing Signals

Tomoyoshi Kimura, Xinlin Li, Osama Hanna +10

cs.CR2017

Design and Analysis of Stability-Guaranteed PUFs

Wei-Che Wang, Yair Yona, Suhas Diggavi +1

cs.IT2009

Secret-Key Generation using Correlated Sources and Channels

Ashish Khisti, Suhas Diggavi, Gregory Wornell

cs.IT2011

Subspace Properties of Network Coding and their Applications

Mahdi Jafari Siavoshani, Christina Fragouli, Suhas Diggavi

cs.CR2021

On the Renyi Differential Privacy of the Shuffle Model

Antonious M. Girgis, Deepesh Data, Suhas Diggavi +2

cs.IT2011

Wireless Network Information Flow: A Deterministic Approach

Salman Avestimehr, Suhas Diggavi, David Tse

cs.CV2026

Tracking without Seeing: Geospatial Inference using Encrypted Traffic from Distributed Nodes

Sadik Yagiz Yetim, Gaofeng Dong, Isaac-Neil Zanoria +5

cs.IT2015

Content Caching and Delivery over Heterogeneous Wireless Networks

Jad Hachem, Nikhil Karamchandani, Suhas Diggavi

cs.IT2018

Models and information-theoretic bounds for nanopore sequencing

Wei Mao, Suhas Diggavi, Sreeram Kannan

cs.IT2013

Opportunistic Interference Management for Multicarrier systems

Shaunak Mishra, I-Hsiang Wang, Suhas Diggavi

cs.LG2025

Robust Federated Personalised Mean Estimation for the Gaussian Mixture Model

Malhar A. Managoli, Vinod M. Prabhakaran, Suhas Diggavi

math.OC2015

Secure State Estimation against Sensor Attacks in the Presence of Noise

Shaunak Mishra, Yasser Shoukry, Nikhil Karamchandani +2

stat.ML2020

Byzantine-Resilient SGD in High Dimensions on Heterogeneous Data

Deepesh Data, Suhas Diggavi

cs.LG2022

A Generative Framework for Personalized Learning and Estimation: Theory, Algorithms, and Privacy

Kaan Ozkara, Antonious M. Girgis, Deepesh Data +1

cs.IT2018

Energy-Efficiency Gains of Caching for Interference Channels

Jad Hachem, Urs Niesen, Suhas Diggavi

cs.CR2012

Exchanging Secrets without Using Cryptography

Iris Safaka, Mahdi J. Siavoshani, Uday Pulleti +4

cs.LG2025

MEL: Multi-level Ensemble Learning for Resource-Constrained Environments

Krishna Praneet Gudipaty, Walid A. Hanafy, Kaan Ozkara +4

cs.LG2019

Differentially Private Consensus-Based Distributed Optimization

Mehrdad Showkatbakhsh, Can Karakus, Suhas Diggavi

cs.IT2020

Algorithms for reconstruction over single and multiple deletion channels

Sundara Rajan Srinivasavaradhan, Michelle Du, Suhas Diggavi +1

cs.LG2021

SQuARM-SGD: Communication-Efficient Momentum SGD for Decentralized Optimization

Navjot Singh, Deepesh Data, Jemin George +1

cs.IT2021

Group testing for overlapping communities

Pavlos Nikolopoulos, Sundara Rajan Srinivasavaradhan, Tao Guo +2

cs.LG2025

SPIRE: Conditional Personalization for Federated Diffusion Generative Models

Kaan Ozkara, Ruida Zhou, Suhas Diggavi

cs.IT2014

Hierarchical Coded Caching

Nikhil Karamchandani, Urs Niesen, Mohammad Ali Maddah-Ali +1

cs.IT2021

Community aware group testing

Pavlos Nikolopoulos, Tao Guo, Sundara Rajan Srinivasavaradhan +2

cs.LG2023

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

Navjot Singh, Suhas Diggavi

stat.ML2019

Qsparse-local-SGD: Distributed SGD with Quantization, Sparsification, and Local Computations

Debraj Basu, Deepesh Data, Can Karakus +1

cs.IT2017

A Distortion Based Approach for Protecting Inferences

Chi-Yo Tsai, Gaurav Kumar Agarwal, Christina Fragouli +1

cs.CR2016

Attack Resilience and Recovery using Physical Challenge Response Authentication for Active Sensors Under Integrity Attacks

Yasser Shoukry, Paul Martin, Yair Yona +2

cs.IT2018

Degrees of Freedom of Cache-Aided Wireless Interference Networks

Jad Hachem, Urs Niesen, Suhas Diggavi

stat.ML2018

Straggler Mitigation in Distributed Optimization Through Data Encoding

Can Karakus, Yifan Sun, Suhas Diggavi +1

cs.IT2015

When are dynamic relaying strategies necessary in half-duplex wireless networks?

Ritesh Kolte, Ayfer Özgür, Suhas Diggavi

cs.IT2013

Optimality and Approximate Optimality of Source-Channel Separation in Networks

Chao Tian, Jun Chen, Suhas Diggavi +1

cs.IT2020

Coded Caching for Heterogeneous Wireless Networks

Jad Hachem, Nikhil Karamchandani, Suhas Diggavi +1

cs.IT2015

Effect of Number of Users in Multi-level Coded Caching

Jad Hachem, Nikhil Karamchandani, Suhas Diggavi

stat.ML2020

SPARQ-SGD: Event-Triggered and Compressed Communication in Decentralized Stochastic Optimization

Navjot Singh, Deepesh Data, Jemin George +1

cs.IT2021

On the Generalized Degrees of Freedom of Noncoherent Interference Channel

Joyson Sebastian, Suhas Diggavi

cs.IT2013

Computation over Mismatched Channels

Nikhil Karamchandani, Urs Niesen, Suhas Diggavi

cs.LG2025

CafeQ: Calibration-free Quantization via Learned Transformations and Adaptive Rounding

Ziteng Sun, Adrian Benton, Samuel Kushnir +4

cs.IT2015

Opportunistic Scheduling for Full-Duplex Uplink-Downlink Networks

Can Karakus, Suhas Diggavi

cs.CR2020

Successive Refinement of Privacy

Antonious M. Girgis, Deepesh Data, Kamalika Chaudhuri +2

stat.ML2018

Redundancy Techniques for Straggler Mitigation in Distributed Optimization and Learning

Can Karakus, Yifan Sun, Suhas Diggavi +1

cs.DC2020

Data Encoding for Byzantine-Resilient Distributed Optimization

Deepesh Data, Linqi Song, Suhas Diggavi

cs.LG2021

Quantizing data for distributed learning

Osama A. Hanna, Yahya H. Ezzeldin, Christina Fragouli +1

cs.AI2026

Decocted Experience Improves Test-Time Inference in LLM Agents

Maohao Shen, Kaiwen Zha, Zexue He +6

cs.IT2020

Distortion based Light-weight Security for Cyber-Physical Systems

Gaurav Kumar Agarwal, Mohammed Karmoose, Suhas Diggavi +2

cs.LG2025

On the optimal regret of collaborative personalized linear bandits

Bruce Huang, Ruida Zhou, Lin F. Yang +1

cs.LG2022

On Leave-One-Out Conditional Mutual Information For Generalization

Mohamad Rida Rammal, Alessandro Achille, Aditya Golatkar +2

cs.IT2017

Matched Multiuser Gaussian Source-Channel Communications via Uncoded Schemes

Chao Tian, Jun Chen, Suhas Diggavi +1

cs.LG2020

Shuffled Model of Federated Learning: Privacy, Communication and Accuracy Trade-offs

Antonious M. Girgis, Deepesh Data, Suhas Diggavi +2

cs.IT2017

Enhancing Multiuser MIMO Through Opportunistic D2D Cooperation

Can Karakus, Suhas Diggavi

cs.LG2019

Privacy-Utility Trade-off of Linear Regression under Random Projections and Additive Noise

Mehrdad Showkatbakhsh, Can Karakus, Suhas Diggavi

cs.IT2011

Secure Capacity Region for Erasure Broadcast Channels with Feedback

László Czap, Vinod M. Prabhakaran, Suhas Diggavi +1

cs.AI2023

FOCAL: Contrastive Learning for Multimodal Time-Series Sensing Signals in Factorized Orthogonal Latent Space

Shengzhong Liu, Tomoyoshi Kimura, Dongxin Liu +5

cs.CR2019

Password Cracking: The Effect of Hash Function Bias on the Average Guesswork

Yair Yona, Suhas Diggavi

cs.LG2023

Multi-Message Shuffled Privacy in Federated Learning

Antonious M. Girgis, Suhas Diggavi

q-bio.GN2023

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

Dhaivat Joshi, Suhas Diggavi, Mark J. P. Chaisson +1

cs.IT2018

Approximate Capacity of Fast Fading Interference Channels with No Instantaneous CSIT

Joyson Sebastian, Can Karakus, Suhas Diggavi

cs.IT2024

Common Information Dimension

Osama Hanna, Xinlin Li, Suhas Diggavi +1

cs.LG2021

Renyi Differential Privacy of the Subsampled Shuffle Model in Distributed Learning

Antonious M. Girgis, Deepesh Data, Suhas Diggavi

cs.IT2020

Generalized Degrees of Freedom of Noncoherent Diamond Networks

Joyson Sebastian, Suhas Diggavi

cs.IT2018

Caching with Partial Adaptive Matching

Jad Hachem, Nikhil Karamchandani, Sharayu Moharir +1

math.OC2015

Secure State Estimation: Optimal Guarantees against Sensor Attacks in the Presence of Noise

Shaunak Mishra, Yasser Shoukry, Nikhil Karamchandani +2

cs.CR2016

Wiretapped Oblivious Transfer

Manoj Mishra, Bikash Kumar Dey, Vinod M. Prabhakaran +1

stat.ML2020

Byzantine-Resilient High-Dimensional Federated Learning

Deepesh Data, Suhas Diggavi

cs.NI2016

Consistency in the face of change: an adaptive approach to physical layer cooperation

Ayan Sengupta, Yahya H. Ezzeldin, Siddhartha Brahma +2

cs.LG2026

An Information-Theoretic Approach to Understanding Transformers' In-Context Learning of Variable-Order Markov Chains

Ruida Zhou, Chao Tian, Suhas Diggavi

math.OC2012

Secure estimation and control for cyber-physical systems under adversarial attacks

Hamza Fawzi, Paulo Tabuada, Suhas Diggavi

cs.IT2015

Gaussian Interference Channel with Intermittent Feedback

Can Karakus, I-Hsiang Wang, Suhas Diggavi

cs.IT2010

The Achievable Distortion Region of Bivariate Gaussian Source on Gaussian Broadcast Channel

Chao Tian, Suhas Diggavi, Shlomo Shamai

cs.LG2022

QuPeD: Quantized Personalization via Distillation with Applications to Federated Learning

Kaan Ozkara, Navjot Singh, Deepesh Data +1

cs.IT2014

The Oblivious Transfer Capacity of the Wiretapped Binary Erasure Channel

Manoj Mishra, Bikash Kumar Dey, Vinod M. Prabhakaran +1

cs.IT2014

Feedback through Overhearing

Jinyuan Chen, Ayfer Ozgur, Suhas Diggavi

cs.IT2016

Capacity Results for Multicasting Nested Message Sets over Combination Networks

Shirin Saeedi Bidokhti, Vinod Prabhakaran, Suhas Diggavi

cs.LG2022

Differentially Private Stochastic Linear Bandits: (Almost) for Free

Osama A. Hanna, Antonious M. Girgis, Christina Fragouli +1

cs.LG2021

A Field Guide to Federated Optimization

Jianyu Wang, Zachary Charles, Zheng Xu +50

cs.IT2010

Approximate Characterizations for the Gaussian Source Broadcast Distortion Region

Chao Tian, Suhas Diggavi, Shlomo Shamai

cs.CR2018

Implementation and Analysis of Stable PUFs Using Gate Oxide Breakdown

Wei-Che Wang, Yair Yona, Yizhang Wu +2

cs.NI2009

Hierarchical Routing over Dynamic Wireless Networks

Dominique Tschopp, Suhas Diggavi, Matthias Grossglauser

cs.DS2009

Approximate Nearest Neighbor Search through Comparisons

Dominique Tschopp, Suhas Diggavi

cs.CR2019

Using mm-Waves for Secret Key Establishment

Mohammed Karmoose, Christina Fragouli, Suhas Diggavi +3

cs.IT2012

The Approximate Capacity of the Gaussian N-Relay Diamond Network

Urs Niesen, Suhas Diggavi

cs.IT2010

On the Capacity of Non-Coherent Network Coding

Mahdi Jafari Siavoshani, Soheil Mohajer, Christina Fragouli +1

eess.SP2021

Coded Estimation: Design of Backscatter Array Codes for 3D Orientation Estimation

Mohamad Rida Rammal, Suhas Diggavi, Ashutosh Sabharwal

cs.IT2015

Coded Caching for Multi-level Popularity and Access

Jad Hachem, Nikhil Karamchandani, Suhas Diggavi

math.OC2019

Securing State Estimation Under Sensor and Actuator Attacks: Theory and Design

Mehrdad Showkatbakhsh, Yasser Shoukry, Suhas Diggavi +1

cs.LG2025

ICQuant: Index Coding enables Low-bit LLM Quantization

Xinlin Li, Osama Hanna, Christina Fragouli +1

cs.LG2024

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

Tomoyoshi Kimura, Jinyang Li, Tianshi Wang +9

math.OC2021

Decentralized Multi-Task Stochastic Optimization With Compressed Communications

Navjot Singh, Xuanyu Cao, Suhas Diggavi +1