Maximilian Egger

46 papers B 15Journal 28Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Post-Quantum Secure Aggregation via Code-Based Homomorphic Encryption. CoRR Sebastian Bitzer, Maximilian Egger, Mumin Liu, Antonia Wachter-Zeh
2026	—	`conf`	StoryCube: Tangible Prompt Engineering for Pre-Literate Children. CHI Extended Abstracts Maximilian Egger, Pascal Knierim
2025	J	`jnl`	BICompFL: Stochastic Federated Learning with Bi-Directional Compression. CoRR Maximilian Egger, Rawad Bitar, Antonia Wachter-Zeh, Nir Weinberger, Deniz Gündüz
2025	J	`jnl`	Byzantine-Resilient Zero-Order Optimization for Communication-Efficient Heterogeneous Federated Learning. CoRR Maximilian Egger, Mayank Bakshi, Rawad Bitar
2025	J	`jnl`	Cost-Efficient Distributed Learning via Combinatorial Multi-Armed Bandits. Entropy Maximilian Egger, Rawad Bitar, Antonia Wachter-Zeh, Deniz Gündüz
2025	B	`conf`	Efficient Machine Unlearning by Model Splitting and Core Sample Selection. ITW Maximilian Egger, Rawad Bitar, Rüdiger L. Urbanke
2025	J	`jnl`	Efficient Machine Unlearning by Model Splitting and Core Sample Selection. CoRR Maximilian Egger, Rawad Bitar, Rüdiger L. Urbanke
2025	J	`jnl`	Federated One-Shot Learning With Data Privacy and Objective-Hiding. IEEE Trans. Inf. Forensics Secur. Maximilian Egger, Rüdiger L. Urbanke, Rawad Bitar
2025	B	`conf`	Federated One-Shot Learning with Data Privacy and Objective-Hiding. ISIT Maximilian Egger, Rüdiger L. Urbanke, Rawad Bitar
2025	J	`jnl`	Federated One-Shot Learning with Data Privacy and Objective-Hiding. CoRR Maximilian Egger, Rüdiger L. Urbanke, Rawad Bitar
2025	J	`jnl`	Maximal-Capacity Discrete Memoryless Channel Identification. IEEE Trans. Inf. Theory Maximilian Egger, Rawad Bitar, Antonia Wachter-Zeh, Deniz Gündüz, Nir Weinberger
2025	J	`jnl`	Multi-Terminal Remote Generation and Estimation Over a Broadcast Channel With Correlated Priors. CoRR Maximilian Egger, Rawad Bitar, Antonia Wachter-Zeh, Nir Weinberger, Deniz Gündüz
2025	B	`conf`	Multi-Terminal Remote Generation and Estimation Over a Broadcast Channel with Correlated Priors. ISIT Maximilian Egger, Rawad Bitar, Antonia Wachter-Zeh, Nir Weinberger, Deniz Gündüz
2025	J	`jnl`	Perfect Privacy for Discriminator-Based Byzantine-Resilient Federated Learning. CoRR Yue Xia, Christoph Hofmeister, Maximilian Egger, Rawad Bitar
2025	B	`conf`	Private Aggregation for Byzantine-Resilient Heterogeneous Federated Learning. ITW Maximilian Egger, Rawad Bitar
2025	J	`jnl`	Private Aggregation for Byzantine-Resilient Heterogeneous Federated Learning. CoRR Maximilian Egger, Rawad Bitar
2025	J	`jnl`	Private Aggregation in Hierarchical Wireless Federated Learning With Partial and Full Collusion. IEEE Trans. Inf. Theory Maximilian Egger, Christoph Hofmeister, Antonia Wachter-Zeh, Rawad Bitar
2025	B	`conf`	Source Anonymity for Private Random Walk Decentralized Learning. ITW Maximilian Egger, Svenja Lage, Rawad Bitar, Antonia Wachter-Zeh
2025	J	`jnl`	Source Anonymity for Private Random Walk Decentralized Learning. CoRR Maximilian Egger, Svenja Lage, Rawad Bitar, Antonia Wachter-Zeh
2024	B	`conf`	Byzantine-Resilient Secure Aggregation for Federated Learning Without Privacy Compromises. ITW Yue Xia, Christoph Hofmeister, Maximilian Egger, Rawad Bitar
2024	J	`jnl`	Byzantine-Resilient Secure Aggregation for Federated Learning Without Privacy Compromises. CoRR Yue Xia, Christoph Hofmeister, Maximilian Egger, Rawad Bitar
2024	B	`conf`	Capacity-Maximizing Input Symbol Selection for Discrete Memoryless Channels. ISIT Maximilian Egger, Rawad Bitar, Antonia Wachter-Zeh, Deniz Gündüz, Nir Weinberger
2024	J	`jnl`	Capacity-Maximizing Input Symbol Selection for Discrete Memoryless Channels. CoRR Maximilian Egger, Rawad Bitar, Antonia Wachter-Zeh, Deniz Gündüz, Nir Weinberger
2024	J	`jnl`	Communication-Efficient Byzantine-Resilient Federated Zero-Order Optimization. CoRR Afonso de Sá Delgado Neto, Maximilian Egger, Mayank Bakshi, Rawad Bitar
2024	J	`jnl`	LoByITFL: Low Communication Secure and Private Federated Learning. CoRR Yue Xia, Christoph Hofmeister, Maximilian Egger, Rawad Bitar
2024	J	`jnl`	Maximal-Capacity Discrete Memoryless Channel Identification. CoRR Maximilian Egger, Rawad Bitar, Antonia Wachter-Zeh, Deniz Gündüz, Nir Weinberger
2024	B	`conf`	Scalable and Reliable Over-the-Air Federated Edge Learning. GLOBECOM Maximilian Egger, Christoph Hofmeister, Cem Kaya, Rawad Bitar, Antonia Wachter-Zeh
2024	J	`jnl`	Scalable and Reliable Over-the-Air Federated Edge Learning. CoRR Maximilian Egger, Christoph Hofmeister, Cem Kaya, Rawad Bitar, Antonia Wachter-Zeh
2024	B	`conf`	Self-Duplicating Random Walks for Resilient Decentralized Learning on Graphs. GLOBECOM Maximilian Egger, Ghadir Ayache, Rawad Bitar, Antonia Wachter-Zeh, Salim El Rouayheb
2024	J	`jnl`	Self-Duplicating Random Walks for Resilient Decentralized Learning on Graphs. CoRR Maximilian Egger, Ghadir Ayache, Rawad Bitar, Antonia Wachter-Zeh, Salim El Rouayheb
2024	J	`jnl`	Sparsity and Privacy in Secret Sharing: A Fundamental Trade-Off. IEEE Trans. Inf. Forensics Secur. Rawad Bitar, Maximilian Egger, Antonia Wachter-Zeh, Marvin Xhemrishi
2023	B	`conf`	Fast and Straggler-Tolerant Distributed SGD with Reduced Computation Load. ISIT Maximilian Egger, Serge Kas Hanna, Rawad Bitar
2023	J	`jnl`	Fast and Straggler-Tolerant Distributed SGD with Reduced Computation Load. CoRR Maximilian Egger, Serge Kas Hanna, Rawad Bitar
2023	—	`conf`	Hide and Seek: Using Occlusion Techniques for Side-Channel Leakage Attribution in CNNs - An Evaluation of the ASCAD Databases. ACNS Workshops Thomas Schamberger, Maximilian Egger, Lars Tebelmann
2023	B	`conf`	Maximal-Capacity Discrete Memoryless Channel Identification. ISIT Maximilian Egger, Rawad Bitar, Antonia Wachter-Zeh, Deniz Gündüz, Nir Weinberger
2023	B	`conf`	Private Aggregation in Wireless Federated Learning with Heterogeneous Clusters. ISIT Maximilian Egger, Christoph Hofmeister, Antonia Wachter-Zeh, Rawad Bitar
2023	J	`jnl`	Private Aggregation in Wireless Federated Learning with Heterogeneous Clusters. CoRR Maximilian Egger, Christoph Hofmeister, Antonia Wachter-Zeh, Rawad Bitar
2023	B	`conf`	Sparse and Private Distributed Matrix Multiplication with Straggler Tolerance. ISIT Maximilian Egger, Marvin Xhemrishi, Antonia Wachter-Zeh, Rawad Bitar
2023	J	`jnl`	Sparse and Private Distributed Matrix Multiplication with Straggler Tolerance. CoRR Maximilian Egger, Marvin Xhemrishi, Antonia Wachter-Zeh, Rawad Bitar
2023	J	`jnl`	Sparsity and Privacy in Secret Sharing: A Fundamental Trade-Off. CoRR Rawad Bitar, Maximilian Egger, Antonia Wachter-Zeh, Marvin Xhemrishi
2022	—	`conf`	A Second Look at the ASCAD Databases. COSADE Maximilian Egger, Thomas Schamberger, Lars Tebelmann, Florian Lippert, Georg Sigl
2022	B	`conf`	Efficient Distributed Machine Learning via Combinatorial Multi-Armed Bandits. ISIT Maximilian Egger, Rawad Bitar, Antonia Wachter-Zeh, Deniz Gündüz
2022	J	`jnl`	Efficient Distributed Machine Learning via Combinatorial Multi-Armed Bandits. CoRR Maximilian Egger, Rawad Bitar, Antonia Wachter-Zeh, Deniz Gündüz
2022	B	`conf`	Efficient Private Storage of Sparse Machine Learning Data. ITW Marvin Xhemrishi, Maximilian Egger, Rawad Bitar
2022	J	`jnl`	Efficient Private Storage of Sparse Machine Learning Data. CoRR Marvin Xhemrishi, Maximilian Egger, Rawad Bitar
2022	J	`jnl`	Nested Gradient Codes for Straggler Mitigation in Distributed Machine Learning. CoRR Luis Maßny, Christoph Hofmeister, Maximilian Egger, Rawad Bitar, Antonia Wachter-Zeh