Suhas Diggavi

University of California, Los Angeles — United States

Computer Science · Physical Sciences

48h-index10.6kcitations461works1.42yr avg
OpenAlex↗ORCID↗Google Scholar↗Lab page↗

Accepting Students?

No reports yet. Know if this professor is taking students?

Research Topics

Cooperative Communication and Network Coding(189), Wireless Communication Security Techniques(167), Advanced Wireless Communication Techniques(65), Advanced MIMO Systems Optimization(61), Privacy-Preserving Technologies in Data(37)

Publications461 total

CafeQ: Calibration-free Quantization via Learned Transformations and Adaptive Rounding
ArXiv.org·2025Open Access
Practical Considerations for Failure Resilient ML Systems at the Edge
2025
MEL: Multi-level Ensemble Learning for Resource-Constrained Environments
arXiv (Cornell University)·2025Open Access
D2C-CID: Discrete-to-Continuous Common Information Dimension
2025
Robust Federated Personalised Mean Estimation for the Gaussian Mixture Model
2025· 1 cited
Personalized Heterogeneous Mean Estimation Under User-Level LDP
2025
SPIRE: Conditional Personalization for Federated Diffusion Generative Models
arXiv (Cornell University)·2025Open Access
RestoreML: Practical Unsupervised Tuning of Deployed Intelligent IoT Systems
2025· 2 cited
ICQuant: Index Coding enables Low-bit LLM Quantization
arXiv (Cornell University)·2025Open Access
Robust Federated Personalised Mean Estimation for the Gaussian Mixture Model
arXiv (Cornell University)·2025Open Access
InfoMAE: Pair-Efficient Cross-Modal Alignment for Multimodal Time-Series Sensing Signals
2025· 2 citedOpen Access
Common Information Dimension
IEEE Transactions on Information Theory·2025
InfoMAE: Pair-Efficient Cross-Modal Alignment for Multimodal Time-Series Sensing Signals
arXiv (Cornell University)·2025Open Access
Representation Transfer Learning via Multiple Pre-Trained Models for Linear Regression
IEEE Journal of Selected Topics in Signal Processing·2024
Collaborative Inference in Resource-Constrained Edge Networks: Challenges and Opportunities
2024· 5 cited
Transformers learn variable-order Markov chains in-context
arXiv (Cornell University)·2024Open Access
VibroFM: Towards Micro Foundation Models for Robust Multimodal IoT Sensing
2024· 6 cited
Reframing Data Value for Large Language Models Through the Lens of Plausibility
arXiv (Cornell University)·2024· 1 citedOpen Access
Decentralized Optimization Resilient Against Local Data Poisoning Attacks
IEEE Transactions on Automatic Control·2024· 1 cited
Personalized Heterogeneous Gaussian Mean Estimation Under Communication Constraints
2024
page 1 of 24Next →

Frequent Co-authors

David Tse(8), Nikhil Karamchandani(6), Chao Tian(6), Paulo Tabuada(5), Naofal Al‐Dhahir(5), Jad Hachem(4), Hamza Fawzi(3), A. Stamoulis(3), A.R. Calderbank(3), Urs Niesen(3), Matthias Grossglauser(3), Soheil Mohajer(3), Christina Fragouli(3), Can Karakus(3), Yifan Sun(3), A. Salman Avestimehr(2), Mohammad Ali Maddah-Ali(2), Amir Salman Avestimehr(2), Deepesh Data(2), Yasser Shoukry(2)