Suhas Diggavi
13 papers · 2011–2025 · 5 venues · across top CS/AI venues
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Achievements
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Keyword Collector
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Top co-authors
Research topics
Machine Learning
(13)
Mathematics & Optimization
(8)
Application Areas
(7)
Artificial Intelligence
(6)
Optimization
(6)
Optimization & Theory Β· Machine Learning
(6)
Learning Paradigms Β· Artificial Intelligence
(5)
Deep Learning
(3)
Learning Types
(3)
Computer Science
(2)
Data Science & Analytics
(2)
Learning Paradigms Β· Machine Learning
(2)
Mathematics
(2)
Optimization & Theory Β· Deep Learning
(2)
Applications
(1)
Keywords
federated learning
(6)
distributed optimization
(5)
stochastic gradient descent
(3)
personalized model
(2)
distributed learning
(2)
gradient descent
(2)
communication efficiency
(2)
straggler mitigation
(2)
model quantization
(1)
similarity search
(1)
dimensionality reduction
(1)
logistic regression
(1)
self-supervised learning
(1)
knowledge distillation
(1)
matrix factorization
(1)
community detection
(1)
differential privacy
(1)
convergence analysis
(1)
contrastive learning
(1)
multimodal learning
(1)
Papers
ADEPT: Hierarchical Bayes Approach to Personalized Federated Unsupervised Learning
AISTATS 2025
A Statistical Framework for Personalized Federated Learning and Estimation: Theory, Algorithms, and Privacy
ICLR 2023
FOCAL: Contrastive Learning for Multimodal Time-Series Sensing Signals in Factorized Orthogonal Latent Space
NeurIPS 2023
On Leave-One-Out Conditional Mutual Information For Generalization
NeurIPS 2022
Byzantine-Resilient High-Dimensional SGD with Local Iterations on Heterogeneous Data
ICML 2021
Group testing for connected communities
AISTATS 2021
QuPeD: Quantized Personalization via Distillation with Applications to Federated Learning
NeurIPS 2021
Renyi Differential Privacy of The Subsampled Shuffle Model In Distributed Learning
NeurIPS 2021
Shuffled Model of Differential Privacy in Federated Learning
AISTATS 2021
Qsparse-local-SGD: Distributed SGD with Quantization, Sparsification and Local Computations
NeurIPS 2019
Redundancy Techniques for Straggler Mitigation in Distributed Optimization and Learning
JMLR 2019
Straggler Mitigation in Distributed Optimization Through Data Encoding
NeurIPS 2017
Randomized Algorithms for Comparison-based Search
NeurIPS 2011