Maximilian Egger

Publication Activity (10 Years)

Years Active: 2022-2024
Publications (10 Years): 16

Top Topics

Machine Learning

Multi Armed Bandits

Top Venues

Publications

Maximilian Egger, Rawad Bitar, Antonia Wachter-Zeh, Deniz Gündüz, Nir Weinberger
Maximal-Capacity Discrete Memoryless Channel Identification. CoRR (2024)
Maximilian Egger, Serge Kas Hanna, Rawad Bitar
Fast and Straggler-Tolerant Distributed SGD with Reduced Computation Load. ISIT (2023)
Maximilian Egger, Marvin Xhemrishi, Antonia Wachter-Zeh, Rawad Bitar
Sparse and Private Distributed Matrix Multiplication with Straggler Tolerance. ISIT (2023)
Maximilian Egger, Marvin Xhemrishi, Antonia Wachter-Zeh, Rawad Bitar
Sparse and Private Distributed Matrix Multiplication with Straggler Tolerance. CoRR (2023)
Rawad Bitar, Maximilian Egger, Antonia Wachter-Zeh, Marvin Xhemrishi
Sparsity and Privacy in Secret Sharing: A Fundamental Trade-Off. CoRR (2023)
Maximilian Egger, Rawad Bitar, Antonia Wachter-Zeh, Deniz Gündüz, Nir Weinberger
Maximal-Capacity Discrete Memoryless Channel Identification. ISIT (2023)
Thomas Schamberger, Maximilian Egger, Lars Tebelmann
Hide and Seek: Using Occlusion Techniques for Side-Channel Leakage Attribution in CNNs - An Evaluation of the ASCAD Databases. ACNS Workshops (2023)
Maximilian Egger, Serge Kas Hanna, Rawad Bitar
Fast and Straggler-Tolerant Distributed SGD with Reduced Computation Load. CoRR (2023)
Maximilian Egger, Christoph Hofmeister, Antonia Wachter-Zeh, Rawad Bitar
Private Aggregation in Wireless Federated Learning with Heterogeneous Clusters. ISIT (2023)
Maximilian Egger, Christoph Hofmeister, Antonia Wachter-Zeh, Rawad Bitar
Private Aggregation in Wireless Federated Learning with Heterogeneous Clusters. CoRR (2023)
Luis Maßny, Christoph Hofmeister, Maximilian Egger, Rawad Bitar, Antonia Wachter-Zeh
Nested Gradient Codes for Straggler Mitigation in Distributed Machine Learning. CoRR (2022)
Maximilian Egger, Rawad Bitar, Antonia Wachter-Zeh, Deniz Gündüz
Efficient Distributed Machine Learning via Combinatorial Multi-Armed Bandits. ISIT (2022)
Maximilian Egger, Thomas Schamberger, Lars Tebelmann, Florian Lippert, Georg Sigl
A Second Look at the ASCAD Databases. COSADE (2022)
Marvin Xhemrishi, Maximilian Egger, Rawad Bitar
Efficient Private Storage of Sparse Machine Learning Data. ITW (2022)
Maximilian Egger, Rawad Bitar, Antonia Wachter-Zeh, Deniz Gündüz
Efficient Distributed Machine Learning via Combinatorial Multi-Armed Bandits. CoRR (2022)
Marvin Xhemrishi, Maximilian Egger, Rawad Bitar
Efficient Private Storage of Sparse Machine Learning Data. CoRR (2022)