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Found 3 papers, 1 papers with code
Crossword: A Semantic Approach to Data Compression via Masking
The traditional methods for data compression are typically based on the symbol-level statistics, with the information source modeled as a long sequence of i. i. d.
MixNN: A design for protecting deep learning models
In this paper, we propose a novel design, called MixNN, for protecting deep learning model structure and parameters.
Accelerating Federated Learning with a Global Biased Optimiser
To address this challenge, we propose a novel, generalised approach for incorporating adaptive optimisation into FL with the Federated Global Biased Optimiser (FedGBO) algorithm.
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