| 2026 | CHI | StoryCube: Tangible Prompt Engineering for Pre-Literate Children. | Maximilian Egger, Pascal Knierim |
| 2025 | ISIT | Multi-Terminal Remote Generation and Estimation Over a Broadcast Channel with Correlated Priors. | Maximilian Egger, Rawad Bitar, Antonia Wachter-Zeh, Nir Weinberger, Deniz Gndz |
| 2025 | ISIT | Federated One-Shot Learning with Data Privacy and Objective-Hiding. | Maximilian Egger, Rdiger L. Urbanke, Rawad Bitar |
| 2025 | ITW | Private Aggregation for Byzantine-Resilient Heterogeneous Federated Learning. | Maximilian Egger, Rawad Bitar |
| 2025 | ITW | Efficient Machine Unlearning by Model Splitting and Core Sample Selection. | Maximilian Egger, Rawad Bitar, Rdiger L. Urbanke |
| 2025 | ITW | Source Anonymity for Private Random Walk Decentralized Learning. | Maximilian Egger, Svenja Lage, Rawad Bitar, Antonia Wachter-Zeh |
| 2024 | GLOBECOM | Self-Duplicating Random Walks for Resilient Decentralized Learning on Graphs. | Maximilian Egger, Ghadir Ayache, Rawad Bitar, Antonia Wachter-Zeh, Salim El Rouayheb |
| 2024 | GLOBECOM | Scalable and Reliable Over-the-Air Federated Edge Learning. | Maximilian Egger, Christoph Hofmeister, Cem Kaya, Rawad Bitar, Antonia Wachter-Zeh |
| 2024 | ISIT | Capacity-Maximizing Input Symbol Selection for Discrete Memoryless Channels. | Maximilian Egger, Rawad Bitar, Antonia Wachter-Zeh, Deniz Gndz, Nir Weinberger |
| 2024 | ITW | Byzantine-Resilient Secure Aggregation for Federated Learning Without Privacy Compromises. | Yue Xia, Christoph Hofmeister, Maximilian Egger, Rawad Bitar |
| 2023 | ACNS | Hide and Seek: Using Occlusion Techniques for Side-Channel Leakage Attribution in CNNs - An Evaluation of the ASCAD Databases. | Thomas Schamberger, Maximilian Egger, Lars Tebelmann |
| 2023 | ISIT | Maximal-Capacity Discrete Memoryless Channel Identification. | Maximilian Egger, Rawad Bitar, Antonia Wachter-Zeh, Deniz Gndz, Nir Weinberger |
| 2023 | ISIT | Fast and Straggler-Tolerant Distributed SGD with Reduced Computation Load. | Maximilian Egger, Serge Kas Hanna, Rawad Bitar |
| 2023 | ISIT | Private Aggregation in Wireless Federated Learning with Heterogeneous Clusters. | Maximilian Egger, Christoph Hofmeister, Antonia Wachter-Zeh, Rawad Bitar |
| 2023 | ISIT | Sparse and Private Distributed Matrix Multiplication with Straggler Tolerance. | Maximilian Egger, Marvin Xhemrishi, Antonia Wachter-Zeh, Rawad Bitar |
| 2022 | ISIT | Efficient Distributed Machine Learning via Combinatorial Multi-Armed Bandits. | Maximilian Egger, Rawad Bitar, Antonia Wachter-Zeh, Deniz Gndz |
| 2022 | ITW | Efficient Private Storage of Sparse Machine Learning Data. | Marvin Xhemrishi, Maximilian Egger, Rawad Bitar |