Christoph Hofmeister

Orcid: 0000-0003-2550-4662

According to our database1, Christoph Hofmeister authored at least 15 papers between 2022 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Random Access Expectation in DNA Storage and Fountain Codes.
CoRR, May, 2026

On the Extension of Private Distributed Matrix Multiplication Schemes to the Grid Partition.
CoRR, January, 2026

Perfect Privacy for Discriminator-Based Byzantine-Resilient Federated Learning.
IEEE Trans. Inf. Forensics Secur., 2026

2025
Private Aggregation in Hierarchical Wireless Federated Learning With Partial and Full Collusion.
IEEE Trans. Inf. Theory, November, 2025

Byzantine-Resilient Gradient Coding Through Local Gradient Computations.
IEEE Trans. Inf. Theory, April, 2025

CAT and DOG: Improved Codes for Private Distributed Matrix Multiplication.
Proceedings of the IEEE International Symposium on Information Theory, 2025

2024
LoByITFL: Low Communication Secure and Private Federated Learning.
CoRR, 2024

Byzantine-Resilient Secure Aggregation for Federated Learning Without Privacy Compromises.
Proceedings of the IEEE Information Theory Workshop, 2024

Interactive Byzantine-Resilient Gradient Coding for General Data Assignments.
Proceedings of the IEEE International Symposium on Information Theory, 2024

Achieving DNA Labeling Capacity with Minimum Labels through Extremal de Bruijn Subgraphs.
Proceedings of the IEEE International Symposium on Information Theory, 2024

Scalable and Reliable Over-the-Air Federated Edge Learning.
Proceedings of the 2024 IEEE Global Communications Conference, 2024

2023
Trading Communication for Computation in Byzantine-Resilient Gradient Coding.
Proceedings of the IEEE International Symposium on Information Theory, 2023

Private Aggregation in Wireless Federated Learning with Heterogeneous Clusters.
Proceedings of the IEEE International Symposium on Information Theory, 2023

2022
Secure Private and Adaptive Matrix Multiplication Beyond the Singleton Bound.
IEEE J. Sel. Areas Inf. Theory, 2022

Nested Gradient Codes for Straggler Mitigation in Distributed Machine Learning.
CoRR, 2022


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