Maßny, L.; Hofmeister, C.; Egger, M.; Bitar, R.; Wachter-Zeh, A.
Nested Gradient Codes for Straggler Mitigation in Distributed Machine Learning
TUM ICE Workshop Raitenhaslach
2022

Maßny, L.; Wachter-Zeh, A.
Secure Over-the-Air Federated Learning
IEEE European School of Information Theory
2022

Maßny, L.; Wachter-Zeh, A.
Secure Over-the-Air Federated Learning
Munich Workshop on Coding and Cryptography
2022

Xhemrishi M.
Distributed Linear Computations over Private Sparse Matrices
IEEE European School of Information Theory
2022

Xhemrishi M.
Computational Code-Based Privacy for Coded Federated Learning
TUM ICE Workshop Raitenhaslach
2022

Xhemrishi M.
Distributed Linear Computations over Private Sparse Matrices
Munich Workshop on Coding and Cryptography
2022

Xhemrishi M.; Egger M. Bitar R.
Efficient Private Storage of Sparse Machine Learning Data
IEEE Information Theory Workshop
2022

Xhemrishi M.; Graell i Amat A.; Rosnes E.; Wachter-Zeh A.
Computational Code-Based Privacy in Coded Federated Learning
IEEE International Symposium on Information Theory
2022

Xhemrishi M.; Bitar R.; Wachter-Zeh A.
Distributed Matrix-Vector Multiplication with Sparsity and Privacy Guarantees
IEEE International Symposium on Information Theory
2022

Garb K.; Xhemrishi M.; Kürzinger L.; Frisch C.
The Wiretap Channel for Capacitive PUF-Based Security Enclosures
IACR Transactions on Cryptographic Hardware and Embedded Systems
2022