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02/03/2023
Learning End-to-End Channel Coding with Diffusion Models
It is a known problem that deep-learning-based end-to-end (E2E) channel ...
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02/09/2021
Federated Learning with Local Differential Privacy: Trade-offs between Privacy, Utility, and Communication
Federated learning (FL) allows to train a massive amount of data private...
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04/25/2020
Randomized Nested Polar Subcode Constructions for Privacy, Secrecy, and Storage
We consider polar subcodes (PSCs), which are polar codes (PCs) with dyna...
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01/16/2019
