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Found 9 papers, 1 papers with code
Edge Unlearning is Not "on Edge"! An Adaptive Exact Unlearning System on Resource-Constrained Devices
Another approach, exact unlearning, tackles this issue by discarding the data and retraining the model from scratch, but at the cost of considerable computational and memory resources.
Machine Unlearning with Minimal Gradient Dependence for High Unlearning Ratios
This lightweight, scalable method significantly enhances model accuracy and strengthens resistance to membership inference attacks.
Privacy-Preserving Ensemble Infused Enhanced Deep Neural Network Framework for Edge Cloud Convergence
In the convergence, edge server is used for both storing IoT produced bioimage and hosting DNN algorithm for local model training.
Trustworthy Privacy-preserving Hierarchical Ensemble and Federated Learning in Healthcare 4.0 with Blockchain
The advancement of Internet and Communication Technologies (ICTs) has led to the era of Industry 4. 0.
Smart Policy Control for Securing Federated Learning Management System
Our proposed method uses smart policy control to manage access and verify the integrity of machine learning models.
Blockchain-based Access Control for Secure Smart Industry Management Systems
The role-based access control is developed to determine users' roles and rights in smart contracts.
Blockchain-based Federated Learning with Secure Aggregation in Trusted Execution Environment for Internet-of-Things
In FL, local models can be tampered with by attackers.
Deep Learning based Automatic Quantification of Urethral Plate Quality using the Plate Objective Scoring Tool (POST)
These predicted landmarks are then used to assess UP quality in distal hypospadias.
Can the Multi-Incoming Smart Meter Compressed Streams be Re-Compressed?
Smart meters have currently attracted attention because of their high efficiency and throughput performance.
