| 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 | 2850 | 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 | 431 | 2011 |
| 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 | 97 | 2019 |
| Truthful linear regression R Cummings, S Ioannidis, K Ligett Conference on Learning Theory (COLT), 448-483, 2015 | 56 | 2015 |
| 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 | 55 | 2021 |
| Adaptive learning with robust generalization guarantees R Cummings, K Ligett, K Nissim, A Roth, ZS Wu Conference on Learning Theory (COLT), 772-814, 2016 | 55 | 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 | 50 | 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, 1912 | 50 | 1912 |
| 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 | 42 | 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 | 33 | 2014 |
| Differentially private change-point detection R Cummings, S Krehbiel, Y Mei, R Tuo, W Zhang Advances in neural information processing systems 31, 2018 | 32 | 2018 |
| Differential privacy for growing databases R Cummings, S Krehbiel, KA Lai, U Tantipongpipat Advances in Neural Information Processing Systems 31, 2018 | 32 | 2018 |
| Probability 1 computation with chemical reaction networks R Cummings, D Doty, D Soloveichik Natural Computing 15, 245-261, 2016 | 29 | 2016 |
| " 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 | 27 | 2021 |
| Online learning and profit maximization from revealed preferences K Amin, R Cummings, L Dworkin, M Kearns, A Roth Conference on Artificial Intelligence (AAAI), 770-776, 2015 | 27 | 2015 |
| The role of differential privacy in gdpr compliance R Cummings, D Desai FAT’18: Proceedings of the Conference on Fairness, Accountability, and …, 2018 | 26 | 2018 |
| Individual sensitivity preprocessing for data privacy R Cummings, D Durfee Proceedings of the Fourteenth Annual ACM-SIAM Symposium on Discrete …, 2020 | 23 | 2020 |
| Speed faults in computation by chemical reaction networks HL Chen, R Cummings, D Doty, D Soloveichik Distributed Computing 30, 373-390, 2017 | 22 | 2017 |
| The strange case of privacy in equilibrium models R Cummings, K Ligett, MM Pai, A Roth Conference on Economics and Computation (EC), 659, 2016 | 22 | 2016 |
| Algorithmic price discrimination R Cummings, NR Devanur, Z Huang, X Wang Proceedings of the Fourteenth Annual ACM-SIAM Symposium on Discrete …, 2020 | 20 | 2020 |
Aaron RothProfessor of Computer Science, University of PennsylvaniaVerified email at cis.upenn.edu
