| Advances and open problems in federated learning P Kairouz, HB McMahan, B Avent, A Bellet, M Bennis, AN Bhagoji, ... | 6911 | 2021 |
| Influence Maximization in Social Networks When Negative Opinions May Emerge and Propagate. W Chen, A Collins, R Cummings, T Ke, Z Liu, D Rincon, X Sun, Y Wang, ... SIAM International Conference on Data Mining (SDM), 379-390, 2011 | 467 | 2011 |
| Mariana Raykova, Dawn Song, Weikang Song, Sebastian U P Kairouz, HB McMahan, B Avent, A Bellet, M Bennis, AN Bhagoji, ... Stich, Ziteng Sun, Ananda Theertha Suresh, Florian Tramèr, Praneeth …, 2021 | 225 | 2021 |
| On the compatibility of privacy and fairness R Cummings, V Gupta, D Kimpara, J Morgenstern Adjunct publication of the 27th conference on user modeling, adaptation and …, 2019 | 198 | 2019 |
| " I need a better description": An Investigation Into User Expectations For Differential Privacy R Cummings, G Kaptchuk, EM Redmiles Proceedings of the 2021 ACM SIGSAC Conference on Computer and Communications …, 2021 | 109 | 2021 |
| Truthful linear regression R Cummings, S Ioannidis, K Ligett Conference on Learning Theory (COLT), 448-483, 2015 | 80 | 2015 |
| Advances and open problems in federated learning. arXiv 2019 P Kairouz, HB McMahan, B Avent, A Bellet, M Bennis, AN Bhagoji, ... arXiv preprint arXiv:1912.04977, 2019 | 68 | 2019 |
| Adaptive learning with robust generalization guarantees R Cummings, K Ligett, K Nissim, A Roth, ZS Wu Conference on Learning Theory (COLT), 772-814, 2016 | 68 | 2016 |
| Accuracy for sale: Aggregating data with a variance constraint R Cummings, K Ligett, A Roth, ZS Wu, J Ziani Conference on Innovations in Theoretical Computer Science (ITCS), 317-324, 2015 | 61 | 2015 |
| Speed faults in computation by chemical reaction networks HL Chen, R Cummings, D Doty, D Soloveichik International Symposium on Distributed Computing (DISC), 16-30, 2014 | 59 | 2014 |
| Differentially private synthetic mixed-type data generation for unsupervised learning UT Tantipongpipat, C Waites, D Boob, AA Siva, R Cummings Intelligent Decision Technologies 15 (4), 779-807, 2021 | 56 | 2021 |
| Privacy and truthful equilibrium selection for aggregative games R Cummings, M Kearns, A Roth, ZS Wu Conference Web and Internet Economics (WINE), 286-299, 2015 | 55 | 2015 |
| Differential privacy for growing databases R Cummings, S Krehbiel, KA Lai, U Tantipongpipat Advances in Neural Information Processing Systems 31, 2018 | 53 | 2018 |
| The role of differential privacy in gdpr compliance R Cummings, D Desai FAT’18: Proceedings of the Conference on Fairness, Accountability, and …, 2018 | 49 | 2018 |
| Probability 1 computation with chemical reaction networks R Cummings, D Doty, D Soloveichik International Conference on DNA Computing and Molecular Programming (DNA), 37-52, 2014 | 46 | 2014 |
| Attribute privacy: Framework and mechanisms W Zhang, O Ohrimenko, R Cummings Proceedings of the 2022 ACM Conference on Fairness, Accountability, and …, 2022 | 44 | 2022 |
| Differentially private change-point detection R Cummings, S Krehbiel, Y Mei, R Tuo, W Zhang Advances in neural information processing systems 31, 2018 | 44 | 2018 |
| What are the chances? explaining the epsilon parameter in differential privacy P Nanayakkara, MA Smart, R Cummings, G Kaptchuk, EM Redmiles 32nd USENIX Security Symposium (USENIX Security 23), 1613-1630, 2023 | 41 | 2023 |
| Challenges towards the next frontier in privacy R Cummings, D Desfontaines, D Evans, R Geambasu, M Jagielski, ... arXiv preprint arXiv:2304.06929 1, 2023 | 37 | 2023 |
| & Zhao, S.(2021). 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, 1912 | 37 | 1912 |
Katrina LigettHebrew UniversityVerified email at mail.huji.ac.il