Follow
Maximilian Egger
Maximilian Egger
Doctoral Researcher, Technical University of Munich
Verified email at tum.de
Title
Cited by
Cited by
Year
A second look at the ascad databases
M Egger, T Schamberger, L Tebelmann, F Lippert, G Sigl
International Workshop on Constructive Side-Channel Analysis and Secure …, 2022
62022
Efficient distributed machine learning via combinatorial multi-armed bandits
M Egger, R Bitar, A Wachter-Zeh, D Gündüz
2022 IEEE International Symposium on Information Theory (ISIT), 1653-1658, 2022
42022
Sparse and Private Distributed Matrix Multiplication with Straggler Tolerance
M Egger, M Xhemrishi, A Wachter-Zeh, R Bitar
2023 IEEE International Symposium on Information Theory (ISIT), 2535-2540, 2023
22023
Efficient Private Storage of Sparse Machine Learning Data
M Xhemrishi, M Egger, R Bitar
2022 IEEE Information Theory Workshop (ITW), 214-219, 2022
22022
Cost-efficient distributed learning via combinatorial multi-armed bandits
M Egger, R Bitar, A Wachter-Zeh, D Gündüz
arXiv preprint arXiv:2202.08302, 2022
12022
Sparsity and Privacy in Secret Sharing: A Fundamental Trade-Off
R Bitar, M Egger, A Wachter-Zeh, M Xhemrishi
arXiv preprint arXiv:2308.06413, 2023
2023
Private Aggregation in Wireless Federated Learning with Heterogeneous Clusters
M Egger, C Hofmeister, A Wachter-Zeh, R Bitar
2023 IEEE International Symposium on Information Theory (ISIT), 54-59, 2023
2023
Maximal-Capacity Discrete Memoryless Channel Identification
M Egger, R Bitar, A Wachter-Zeh, D Gündüz, N Weinberger
2023 IEEE International Symposium on Information Theory (ISIT), 2248-2253, 2023
2023
Fast and Straggler-Tolerant Distributed SGD with Reduced Computation Load
M Egger, SK Hanna, R Bitar
2023 IEEE International Symposium on Information Theory (ISIT), 1336-1341, 2023
2023
Hide and Seek: Using Occlusion Techniques for Side-Channel Leakage Attribution in CNNs: An Evaluation of the ASCAD Databases
T Schamberger, M Egger, L Tebelmann
International Conference on Applied Cryptography and Network Security, 139-158, 2023
2023
Nested Gradient Codes for Straggler Mitigation in Distributed Machine Learning
L Maßny, C Hofmeister, M Egger, R Bitar, A Wachter-Zeh
arXiv preprint arXiv:2212.08580, 2022
2022
The system can't perform the operation now. Try again later.
Articles 1–11