| SPARQ-SGD: Event-Triggered and Compressed Communication in Decentralized Optimization N Singh, D Data, J George, S Diggavi 2020 59th IEEE Conference on Decision and Control (CDC), 3449-3456, 2020 | 66* | 2020 |
| Squarm-sgd: Communication-efficient momentum sgd for decentralized optimization N Singh, D Data, J George, S Diggavi IEEE Journal on Selected Areas in Information Theory, 2021 | 49 | 2021 |
| QuPeD: Quantized Personalization via Distillation with Applications to Federated Learning K Ozkara, N Singh, D Data, S Diggavi Advances in Neural Information Processing Systems 34, 3622-3634, 2021 | 45 | 2021 |
| Decentralized multi-task stochastic optimization with compressed communications N Singh, X Cao, S Diggavi, T Başar Automatica 159, 111363, 2024 | 7 | 2024 |
| Anti-ad blocking strategy: Measuring its true impact AR Sinha, M Macha, P Maneriker, S Khosla, A Samdariya, N Singh Proceedings of the ADKDD'17, 1-6, 2017 | 4 | 2017 |
| QuPeL: Quantized Personalization with Applications to Federated Learning K Ozkara, N Singh, D Data, S Diggavi arXiv preprint arXiv:2102.11786, 2021 | 2 | 2021 |
| Representation Transfer Learning via Multiple Pre-trained models for Linear Regression N Singh, S Diggavi 2023 IEEE International Symposium on Information Theory (ISIT), 561-566, 2023 | 1 | 2023 |
| Communication Efficient Distributed Learning N Singh, D Data, S Diggavi Artificial Intelligence for Edge Computing, 199-222, 2023 | | 2023 |
| Techniques to quantify effectiveness of site-wide actions AR Sinha, MM Yadagiri, PR Maneriker, S Khosla, A Samdariya, N Singh US Patent 11,093,957, 2021 | | 2021 |
| Node Representation Learning Assisted by Maximal Cliques N Singh, EW Huang, N Rao, K Subbian https://navjotx11.github.io/files/papers/NodeRep_Amazon2021.pdf, 2021 | | 2021 |
| Error Analysis for reconstruction of approximately bandlimited graph signals N Singh Master's Thesis, 2018 | | 2018 |
