Primary tabs

2022
S. Kumar, R. Schlegel, E. Rosnes and A. G. i. Amat. Coding for straggler mitigation in federated learning In IEEE International Conference on Communications (ICC). IEEE, 2022.
M. Xhemrishi, A. G. i. Amat, E. Rosnes and A. Wachter-Zeh. Computational code-based privacy in coded federated learning In IEEE Int. Symp. Inf. Theory (ISIT). IEEE, 2022.
H. Lin, S. Kumar, E. Rosnes, A. G. i. Amat and E. Yaakobi. "Multi-server weakly-private information retrieval." IEEE Transactions on Information Theory 68, no. 2 (2022): 1197-1219.
Y. Yakimenka, H. Lin, E. Rosnes and J. Kliewer. "Optimal rate-distortion-leakage tradeoff for single-server information retrieval." IEEE Journal on Selected Areas in Communications (IEEE JSAC) 40, no. March (2022): 832-846.
R. Schlegel, S. Kumar, E. Rosnes and A. G. i. Amat. "Privacy-preserving coded mobile edge computing for low-latency distributed inference." IEEE Journal on Selected Areas in Communications (IEEE JSAC) 40, no. March (2022): 788-799.
S. A. Obead, H. Lin, E. Rosnes and J. Kliewer. "Private linear computation for noncolluding coded databases." IEEE Journal on Selected Areas in Communications (IEEE JSAC) 40, no. March (2022): 847-861.
S. A. Obead, H. Lin, E. Rosnes and J. Kliewer. "Private polynomial function computation for noncolluding coded databases." IEEE Transactions on Information Forensics and Security 17 (2022): 1800-1813.
R. Schlegel, S. Kumar, E. Rosnes and A. G. i. Amat. Straggler-resilient secure aggregation for federated learning In Eur. Signal Process. Conf. (EUSIPCO). IEEE, 2022.
2021
H. Lin, S. Kumar, E. Rosnes, A. G. i. Amat and E. Yaakobi. "The capacity of single-server weakly-private information retrieval." IEEE Journal on Selected Areas in Information Theory 2, no. March (2021): 415-427.
A. Lenz, I. Maarouf, L. Welter, A. Wachter-Zeh, E. Rosnes and A. G. i. Amat. Concatenated codes for recovery from multiple reads of DNA sequences In IEEE Information Theory Workshop (ITW). IEEE, 2021.
j. pedersen, A. G. i. Amat, j. goseling, F. Brännström, I. Andriyanova and E. Rosnes. "Dynamic coded caching in wireless networks." IEEE Transactions on Communications 69, no. 4 (2021): 2138-2147.
A. Severinson, E. Rosnes and A. G. i. Amat. Improving age-of-information in distributed vehicle tracking In XXXIV General Assembly Scientific Symposium (GASS) International Union Radio Science. IEEE, 2021.
A. Frigård, S. Kumar, E. Rosnes and A. G. i. Amat. Low-latency distributed inference at the network edge using rateless codes In 17th International Symposium on Wireless Communication Systems (ISWCS). IEEE, 2021.
Y. Yakimenka, H. Lin, E. Rosnes and J. Kliewer. Optimal rate-distortion-leakage tradeoff for single-server information retrieval In IEEE International Symposium on Information Theory (ISIT). IEEE, 2021.
2020
E. Rosnes and M. Helmling. "Adaptive linear programming decoding of nonbinary linear codes over prime fields." IEEE Transactions on Information Theory 66, no. March (2020): 1281-1317.
Y. Yakimenka, H. Lin and E. Rosnes. On the capacity of private monomial computation In International Zurich Seminar on Information and Communication. ETH Zurich, 2020.
H. Lin, S. Kumar, E. Rosnes, A. G. i. Amat and E. Yaakobi. The capacity of single-server weakly-private information retrieval In IEEE International Symposium on Information Theory (ISIT). IEEE, 2020.
A. G. i. Amat, E. Rosnes and A. Severinson. Coding for edge computing In Technical tutorial at the IEEE 92nd Vehicular Technology Conference (VTC-Fall), Victoria, BC, Canada (virtual). IEEE, 2020.
Y. Yakimenka and E. Rosnes. "Failure analysis of the interval-passing algorithm for compressed sensing." IEEE Transactions on Information Theory 66, no. 4 (2020): 2466-2486.
C. Weng, Y. Yakimenka, H. Lin, E. Rosnes and J. Kliewer. Generative adversarial user privacy in lossy single-server information retrieval In The NeurIPS Workshop on Privacy Preserving Machine Learning - PRIML and PPML Joint Edition, Vancouver, Canada (virtual)., 2020.
R. Schlegel, S. Kumar, E. Rosnes and A. G. i. Amat. Private edge computing for linear inference based on secret sharing In IEEE Global Communications Conference (GLOBECOM). IEEE, 2020.

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