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Found 5 papers, 1 papers with code
PPBFL: A Privacy Protected Blockchain-based Federated Learning Model
Therefore, we propose A Privacy Protected Blockchain-based Federated Learning Model (PPBFL) to enhance the security of federated learning and encourage active participation of nodes in model training.
FBChain: A Blockchain-based Federated Learning Model with Efficiency and Secure Communication
This article proposes Blockchain-based Federated Learning (FBChain) model for federated learning parameter communication to overcome the above two problems.
BRFL: A Blockchain-based Byzantine-Robust Federated Learning Model
With the increasing importance of machine learning, the privacy and security of training data have become critical.
Exploring Endogenous Shift for Cross-Domain Detection: A Large-Scale Benchmark and Perturbation Suppression Network
To handle the endogenous shift, we further introduce the Perturbation Suppression Network (PSN), motivated by the fact that this shift is mainly caused by two types of perturbations: category-dependent and category-independent ones.
High-throughput lensless whole slide imaging via continuous height-varying modulation of tilted sensor
We show that a whole slide image of a blood smear with a 120-mm^2 field of view can be acquired in 18 seconds.
