Research

Publications:

1. M. Egger, R. Bitar, A. Wachter-Zeh, D. Gündüz, N. Weinberger, "Maximal-Capacity Discrete Memoryless Channel Identification", International Symposium on Information Theory (ISIT), 2023.

2. M. Egger, C. Hofmeister, A. Wachter-Zeh, R. Bitar, "Private Aggregation in Wireless Federated Learning with Heterogeneous Clusters", International Symposium on Information Theory (ISIT), 2023.

3. M. Egger, S. Kas Hanna, R. Bitar, "Fast and Straggler-Tolerant Distributed SGD with Reduced Computation Load", International Symposium on Information Theory (ISIT), 2023.

4. M. Egger, M. Xhemrishi, A. Wachter-Zeh, R. Bitar, "Sparse and Private Distributed Matrix Multiplication with Straggler Tolerance", International Symposium on Information Theory (ISIT), 2023.

5. T. Schamberger, M. Egger, L. Tebelmann "Hide and Seek: Using Occlusion Techniques for Side-Channel Leakage Attribution in CNNs", Artificial Intelligence in Hardware Security Workshop (AIHWS), 2023.

6. M. Egger, R. Bitar, A. Wachter-Zeh and D. Gündüz, "Efficient Distributed Machine Learning via Combinatorial Multi-Armed Bandits," submitted to IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2023.

7. M. Xhemrishi, M. Egger and R. Bitar, "Efficient Private Storage of Sparse Machine Learning Data," IEEE Information Theory Workshop (ITW), 2022.

8. M. Egger, R. Bitar, A. Wachter-Zeh and D. Gündüz, "Efficient Distributed Machine Learning via Combinatorial Multi-Armed Bandits," IEEE International Symposium on Information Theory (ISIT), 2022.

9. M. Egger, T. Schamberger, L. Tebelmann, F. Lippert, G. Sigl "A Second Look at the ASCAD Databases," International Workshop on Constructive Side-Channel Analysis and Secure Design (COSADE), 2022.

Public Talks:

• "Maximal-Capacity Discrete Memoryless Channel Identification", conference talk at International Symposium on Information Theory (ISIT), June 2023.

• "Fast and Straggler-Tolerant Distributed SGD with Reduced Computation Load", conference talk at International Symposium on Information Theory (ISIT), June 2023.

• "Challenges in Federated Learning - A Brief Overview," contributed talk at TUM ICE Workshop, August 2022.

• "Efficient Distributed Machine Learning via Combinatorial Multi-Armed Bandits," conference talk at International Symposium on Information Theory (ISIT), June 2022.

• "Exploring While Exploiting Workers for Efficient Distributed Machine Learning," master thesis final presentation at TUM, February 2022.

• "An IoT-Gateway for Cloud-Based Asset Tracking via Bluetooth Low Energy - Strategic Decisions and Development Steps Towards Prototyping," invited talk organized by VDE, June 2021.