Suhas Diggavi

13 papers · 2011–2025 · 5 conferences · across top CS/AI conferences

Achievements

+8 more ↓

🌍 Conference Polyglot (5) 🏃 Academic Marathon (14) 🧭 Keyword Pioneer 🌉 Interdisciplinary Bridge 🐣 Hot Topic Early Bird

🌍 Conference Polyglot (5) 🏃 Academic Marathon (14) 🐣 Hot Topic Early Bird 🏆 Keyword Champion 🗃️ Keyword Collector (60) 📈 Trend Setter 💎 Century Club (13) ⚡ Prolific Year (5)

Conferences

NIPS (7) AISTATS (3) ICLR (1) ICML (1) JMLR (1)

Top co-authors

Deepesh Data (6) Kaan Ozkara (3) Can Karakus (3) Antonious Girgis (2) Wotao Yin (2) Yifan Sun (2) Mani Srivastava (1) Tomoyoshi Kimura (1) Jinyang Li (1) Sundara Rajan Srinivasavaradhan (1)

Keywords

distributed optimization (5) federated learning (4) stochastic gradient descent (3) gradient descent (2) distributed learning (2) communication efficiency (2) straggler mitigation (2) contrastive learning (1) knowledge distillation (1) learning theory (1) self-supervised learning (1) information retrieval (1) multimodal learning (1) logistic regression (1) model quantization (1) nearest neighbor search (1) time series (1) matrix factorization (1) community detection (1) differential privacy (1)

Papers

ADEPT: Hierarchical Bayes Approach to Personalized Federated Unsupervised Learning AISTATS 2025 FOCAL: Contrastive Learning for Multimodal Time-Series Sensing Signals in Factorized Orthogonal Latent Space NIPS 2023 A Statistical Framework for Personalized Federated Learning and Estimation: Theory, Algorithms, and Privacy ICLR 2023 On Leave-One-Out Conditional Mutual Information For Generalization NIPS 2022 Group testing for connected communities AISTATS 2021 Shuffled Model of Differential Privacy in Federated Learning AISTATS 2021 Byzantine-Resilient High-Dimensional SGD with Local Iterations on Heterogeneous Data ICML 2021 QuPeD: Quantized Personalization via Distillation with Applications to Federated Learning NIPS 2021 Renyi Differential Privacy of The Subsampled Shuffle Model In Distributed Learning NIPS 2021 Redundancy Techniques for Straggler Mitigation in Distributed Optimization and Learning JMLR 2019 Qsparse-local-SGD: Distributed SGD with Quantization, Sparsification and Local Computations NIPS 2019 Straggler Mitigation in Distributed Optimization Through Data Encoding NIPS 2017 Randomized Algorithms for Comparison-based Search NIPS 2011