| Advances and open problems in federated learning P Kairouz, HB McMahan, B Avent, A Bellet, M Bennis, AN Bhagoji, ... Foundations and trends® in machine learning 14 (1–2), 1-210, 2021 | 7000 | 2021 |
| An improved data stream summary: the count-min sketch and its applications G Cormode, S Muthukrishnan Journal of Algorithms 55 (1), 58-75, 2005 | 2584 | 2005 |
| Key differences between Web 1.0 and Web 2.0 G Cormode, B Krishnamurthy First Monday, 2008 | 1547 | 2008 |
| Privbayes: Private data release via bayesian networks J Zhang, G Cormode, CM Procopiuc, D Srivastava, X Xiao ACM Transactions on Database Systems (TODS) 42 (4), 1-41, 2017 | 822 | 2017 |
| Node classification in social networks S Bhagat, G Cormode, S Muthukrishnan Social network data analytics, 115-148, 2011 | 793 | 2011 |
| What's hot and what's not: tracking most frequent items dynamically G Cormode, S Muthukrishnan ACM Transactions on Database Systems (TODS) 30 (1), 249-278, 2005 | 733 | 2005 |
| Synopses for massive data: Samples, histograms, wavelets, sketches G Cormode, M Garofalakis, PJ Haas, C Jermaine Foundations and Trends® in Databases 4 (1–3), 1-294, 2011 | 691 | 2011 |
| Differentially Private Spatial Decompositions G Cormode, M Procopiuc, E Shen, D Srivastava, T Yu Arxiv preprint arXiv:1103.5170, 2011 | 510 | 2011 |
| Finding frequent items in data streams G Cormode, M Hadjieleftheriou Proceedings of the VLDB Endowment 1 (2), 1530-1541, 2008 | 416 | 2008 |
| Opacus: User-friendly differential privacy library in PyTorch A Yousefpour, I Shilov, A Sablayrolles, D Testuggine, K Prasad, M Malek, ... arXiv preprint arXiv:2109.12298, 2021 | 399 | 2021 |
| Privacy at scale: Local differential privacy in practice G Cormode, S Jha, T Kulkarni, N Li, D Srivastava, T Wang Proceedings of the 2018 International Conference on Management of Data, 1655 …, 2018 | 358 | 2018 |
| What's new: Finding significant differences in network data streams G Cormode, S Muthukrishnan IEEE/ACM Transactions on Networking 13 (6), 1219-1232, 2005 | 351 | 2005 |
| An improved data stream summary: The count-min sketch and its applications G Cormode, S Muthukrishnan LATIN 2004: Theoretical Informatics: 6th Latin American Symposium, Buenos …, 2004 | 348 | 2004 |
| The string edit distance matching problem with moves G Cormode, S Muthukrishnan ACM Transactions on Algorithms (TALG) 3 (1), 1-19, 2007 | 336 | 2007 |
| Practical Verified Computation with Streaming Interactive Proofs G Cormode, M Mitzenmacher, J Thaler Arxiv preprint arXiv:1105.2003, 2011 | 306 | 2011 |
| Class-based graph anonymization for social network data S Bhagat, G Cormode, B Krishnamurthy, D Srivastava Proceedings of the VLDB Endowment 2 (1), 766-777, 2009 | 305 | 2009 |
| Sketching streams through the net: Distributed approximate query tracking G Cormode, M Garofalakis Proceedings of the 31st international conference on Very large data bases, 13-24, 2005 | 294 | 2005 |
| Conservative or liberal? Personalized differential privacy Z Jorgensen, T Yu, G Cormode 2015 IEEE 31St international conference on data engineering, 1023-1034, 2015 | 280 | 2015 |
| Finding hierarchical heavy hitters in data streams G Cormode, F Korn, S Muthukrishnan, D Srivastava Proceedings 2003 VLDB Conference, 464-475, 2003 | 276 | 2003 |
| DPT: differentially private trajectory synthesis using hierarchical reference systems X He, G Cormode, A Machanavajjhala, C Procopiuc, D Srivastava Proceedings of the VLDB Endowment 8 (11), 1154-1165, 2015 | 275 | 2015 |
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