| 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 | 9 | 2022 |
| 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 | 6 | 2022 |
| Byzantine-resilient secure aggregation for federated learning without privacy compromises Y Xia, C Hofmeister, M Egger, R Bitar arXiv preprint arXiv:2405.08698, 2024 | 4 | 2024 |
| 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 | 4 | 2023 |
| 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 | 4 | 2023 |
| Sparsity and Privacy in Secret Sharing: A Fundamental Trade-Off R Bitar, M Egger, A Wachter-Zeh, M Xhemrishi IEEE Transactions on Information Forensics and Security, 2024 | 2 | 2024 |
| 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 | 2 | 2023 |
| Efficient Private Storage of Sparse Machine Learning Data M Xhemrishi, M Egger, R Bitar 2022 IEEE Information Theory Workshop (ITW), 214-219, 2022 | 2 | 2022 |
| Cost-efficient distributed learning via combinatorial multi-armed bandits M Egger, R Bitar, A Wachter-Zeh, D Gündüz arXiv preprint arXiv:2202.08302, 2022 | 2 | 2022 |
| Capacity-Maximizing Input Symbol Selection for Discrete Memoryless Channels M Egger, R Bitar, A Wachter-Zeh, D Gündüz, N Weinberger 2024 IEEE International Symposium on Information Theory (ISIT), 723-728, 2024 | 1 | 2024 |
| 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 | 1 | 2023 |
| DATA AGGREGATION IN FEDERATED COMPUTING B Raaf, A Wachter-zeh, C Hofmeister, M Egger, R Bitar, R Zaus, ... US Patent App. 18/744,319, 2024 | | 2024 |
| Self-Duplicating Random Walks for Resilient Decentralized Learning on Graphs M Egger, G Ayache, R Bitar, A Wachter-Zeh, SE Rouayheb arXiv preprint arXiv:2407.11762, 2024 | | 2024 |
| Scalable and Reliable Over-the-Air Federated Edge Learning M Egger, C Hofmeister, C Kaya, R Bitar, A Wachter-Zeh arXiv preprint arXiv:2407.11807, 2024 | | 2024 |
| Communication-Efficient Byzantine-Resilient Federated Zero-Order Optimization AS Delgado Neto, M Egger, M Bakshi, R Bitar arXiv e-prints, arXiv: 2406.14362, 2024 | | 2024 |
| LoByITFL: Low Communication Secure and Private Federated Learning Y Xia, C Hofmeister, M Egger, R Bitar arXiv preprint arXiv:2405.19217, 2024 | | 2024 |
| Secure Distributed Matrix Multiplication with Modulo Degree Tables C Hofmeister, M Egger, R Bitar, A Wachter-Zeh IEEE International Symposium on Information Theory (ISIT), 2024 | | 2024 |
| 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 |
| 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 |
| Self-Duplicating Random Walks for Failure Resilience S El Rouayheb, M Egger, G Ayache, R Bitar, A Wachter-Zeh 2025 Joint Mathematics Meetings (JMM 2025), 0 | | |
Rawad BitarResearch Group Leader (and Habiliation Candidate), Technical University of MunichVerified email at tum.de
