An AI-enabled three-party game framework for guaranteed data privacy in mobile edge crowdsensing of IoT
J Xiong, M Zhao, MZA Bhuiyan… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
The mobile crowdsensing (MCS) technology with a large number of Internet of Things (IoT)
devices provides an economic and efficient solution to participation in coordinated large …
devices provides an economic and efficient solution to participation in coordinated large …
Ponzi scheme detection via oversampling-based Long Short-Term Memory for smart contracts
The application of blockchain technology is growing rapidly, which has aroused great
attention in the academic and industrial fields. Based on blockchain 2.0, Ethereum is a …
attention in the academic and industrial fields. Based on blockchain 2.0, Ethereum is a …
Lightweight privacy-preserving medical diagnosis in edge computing
With the development of machine learning, it is popular that mobile users can submit
individual symptoms at any time anywhere for medical diagnosis. Edge computing is …
individual symptoms at any time anywhere for medical diagnosis. Edge computing is …
PFLM: Privacy-preserving federated learning with membership proof
C Jiang, C Xu, Y Zhang - Information Sciences, 2021 - Elsevier
Privacy-preserving federated learning is distributed machine learning where multiple
collaborators train a model through protected gradients. To achieve robustness to users …
collaborators train a model through protected gradients. To achieve robustness to users …
Revfrf: Enabling cross-domain random forest training with revocable federated learning
Random forest is one of the most heated machine learning tools in a wide range of industrial
scenarios. Recently, federated learning enables efficient distributed machine learning …
scenarios. Recently, federated learning enables efficient distributed machine learning …
An efficient and privacy-preserving scheme for disease prediction in modern healthcare systems
S Padinjappurathu Gopalan, CL Chowdhary, C Iwendi… - Sensors, 2022 - mdpi.com
With the Internet of Things (IoT), mobile healthcare applications can now offer a variety of
dimensionalities and online services. Disease Prediction Systems (DPS) increase the speed …
dimensionalities and online services. Disease Prediction Systems (DPS) increase the speed …
Pocket diagnosis: Secure federated learning against poisoning attack in the cloud
Federated learning has become prevalent in medical diagnosis due to its effectiveness in
training a federated model among multiple health institutions (ie, Data Islands (DIs)) …
training a federated model among multiple health institutions (ie, Data Islands (DIs)) …
Private and energy-efficient decision tree-based disease detection for resource-constrained medical users in mobile healthcare network
In mobile healthcare networks (MHN), outsourced disease detection services demand the
privacy preservation of medical users and health service providers (health clouds). This …
privacy preservation of medical users and health service providers (health clouds). This …
OIS-RF: A novel overlap and imbalance sensitive random forest
BW Yuan, ZL Zhang, XG Luo, Y Yu, XH Zou… - … Applications of Artificial …, 2021 - Elsevier
Classifier learning with imbalanced data is one of the main challenges in the data mining
community. An ensemble of classifiers is a popular solution to this problem, and it has …
community. An ensemble of classifiers is a popular solution to this problem, and it has …
XRRF: An eXplainable Reasonably Randomised Forest algorithm for classification and regression problems
Tree-based ensemble algorithms (TEAs) have had a transformative impact in various fields.
However, when they are applied to real-time critical problems such as medical analysis …
However, when they are applied to real-time critical problems such as medical analysis …