Rasmus Pagh

Rasmus Pagh

Professor

ORCID: 0000-0002-1516-9306

Publication year:
All
1 - 7 out of 7Page size: 10
  1. 2021

  2. Advances and Open Problems in Federated Learning

    Kairouz, P., McMahan, H. B., Avent, B., Bellet, A., Bennis, M., Bhagoji, A. N., Bonawitz, K., Charles, Z., Cormode, G., Cummings, R., D'Oliveira, R. G. L., Eichner, H., El Rouayheb, S., Evans, D., Gardner, J., Garrett, Z., Gascon, A., Ghazi, B., Gibbons, P. B., Gruteser, M. & 39 others, Harchaoui, Z., He, C., He, L., Huo, Z., Hutchinson, B., Hsu, J., Jaggi, M., Javidi, T., Joshi, G., Khodak, M., Konecny, J., Korolova, A., Koushanfar, F., Koyejo, S., Lepoint, T., Liu, Y., Mittal, P., Mohri, M., Nock, R., Ozgur, A., Pagh, Rasmus, Qi, H., Ramage, D., Raskar, R., Raykova, M., Song, D., Song, W., Stich, S. U., Sun, Z., Suresh, A. T., Tramer, F., Vepakomma, P., Wang, J., Xiong, L., Xu, Z., Yang, Q., Yu, F. X., Yu, H. & Zhao, S., 2021, In: Foundations and Trends in Machine Learning. 14, 1-2, p. 1-210

    Research output: Contribution to journal › Journal article › Research › peer-review

  3. Published

    CountSketches, Feature Hashing and the Median of Three

    Larsen, K. G., Pagh, Rasmus & Tetek, Jakub, 2021, Proceedings of the 38 th International Conference on Machine Learning. Meila, M. & Zhang, T. (eds.). PMLR, p. 6011-6020 (Proceedings of Machine Learning Research, Vol. 139).

    Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

  4. Published

    Differentially Private Aggregation in the Shuffle Model: Almost Central Accuracy in Almost a Single Message

    Ghazi, B., Kumar, R., Manurangsi, P., Pagh, Rasmus & Sinha, A., 2021, Proceedings of the 38 th International Conference on Machine Learning. Meila, M. & Zhang, T. (eds.). PMLR, p. 3692-3701 (Proceedings of Machine Learning Research, Vol. 139).

    Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

  5. Published

    Differentially Private Sparse Vectors with Low Error, Optimal Space, and Fast Access

    Aumüller, M., Lebeda, C. J. & Pagh, Rasmus, 2021, CCS 2021 - Proceedings of the 2021 ACM SIGSAC Conference on Computer and Communications Security. Association for Computing Machinery, p. 1223-1236 (Proceedings of the ACM Conference on Computer and Communications Security).

    Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

  6. Published

    Efficient differentially private F0 linear sketching

    Pagh, Rasmus & Stausholm, N. M., 2021, 24th International Conference on Database Theory, ICDT 2021. Yi, K. & Wei, Z. (eds.). Schloss Dagstuhl- Leibniz-Zentrum fur Informatik GmbH, Dagstuhl Publishing, p. 1-19 18. (Leibniz International Proceedings in Informatics, LIPIcs, Vol. 186).

    Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

  7. Published

    Fair near neighbor search via sampling

    Aumuller, M., Har-Peled, S., Mahabadi, S., Pagh, Rasmus & Silvestri, F., 2021, In: SIGMOD Record. 50, 1, p. 42-49

    Research output: Contribution to journal › Journal article › Research › peer-review

  8. Published

    On the Power of Multiple Anonymous Messages: Frequency Estimation and Selection in the Shuffle Model of Differential Privacy

    Ghazi, B., Golowich, N., Kumar, R., Pagh, Rasmus & Velingker, A., 2021, Advances in Cryptology – EUROCRYPT 2021 - 40th Annual International Conference on the Theory and Applications of Cryptographic Techniques, Proceedings. Canteaut, A. & Standaert, F-X. (eds.). Springer, p. 463-488 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 12698 LNCS).

    Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

ID: 252282120