Rasmus Pagh
Professor
Algorithms and Complexity
Universitetsparken 1
2100 København Ø
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Fair near neighbor search via sampling
Aumuller, M., Har-Peled, S., Mahabadi, S., Pagh, Rasmus & Silvestri, F., 2021, I: SIGMOD Record. 50, 1, s. 42-49Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
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Sampling near neighbors in search for fairness
Aumüller, M., Har-Peled, S., Mahabadi, S., Pagh, Rasmus & Silvestri, F., 2022, I: Communications of the ACM. 65, 8, s. 83-90Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
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Sampling a Near Neighbor in High Dimensions-Who is the Fairest of Them All?
Aumüller, M., Har-Peled, S., Mahabadi, S., Pagh, Rasmus & Silvestri, F., 2022, I: ACM Transactions on Database Systems. 47, 1, s. 1-40 4.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
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Representing Sparse Vectors with Differential Privacy, Low Error, Optimal Space, and Fast Access
Aumüller, M., Lebeda, C. J. & Pagh, Rasmus, 2022, I: Journal of Privacy and Confidentiality. 12, 2, 35 s.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
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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, s. 1223-1236 (Proceedings of the ACM Conference on Computer and Communications Security).Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
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Simple Set Sketching
Bæk Tejs Houen, J., Pagh, Rasmus & Walzer, S., 2023, Proceedings, 2023 Symposium on Simplicity in Algorithms (SOSA). Kavitha, T. & Mehlhorn, K. (red.). Society for Industrial and Applied Mathematics, s. 228-241Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
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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. (red.). Springer, s. 463-488 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Bind 12698 LNCS).Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
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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. (red.). PMLR, s. 3692-3701 (Proceedings of Machine Learning Research, Bind 139).Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
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 flere, , 2021, I: Foundations and Trends in Machine Learning. 14, 1-2, s. 1-210Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
ID: 252282120
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Efficient differentially private F0 linear sketching
Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
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