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Found 13 papers, 2 papers with code
Federated Learning for COVID-19 Detection with Generative Adversarial Networks in Edge Cloud Computing
COVID-19 has spread rapidly across the globe and become a deadly pandemic.
Conservative Plane Releasing for Spatial Privacy Protection in Mixed Reality
Aside from objects being detected, spatial information also reveals the location of the user with high specificity, e. g. in which part of the house the user is.
BreathRNNet: Breathing Based Authentication on Resource-Constrained IoT Devices using RNNs
Increasing popularity of IoT devices makes a strong case for implementing RNN based inferences for applications such as acoustics based authentication, voice commands, and edge analytics for smart homes.
Characterizing and Detecting Money Laundering Activities on the Bitcoin Network
Bitcoin is by far the most popular crypto-currency solution enabling peer-to-peer payments.
Secure Computation Offloading in Blockchain based IoT Networks with Deep Reinforcement Learning
How to implement offloading to alleviate computation burdens at MDs while guaranteeing high security in mobile edge cloud is a challenging problem.
Privacy-Preserved Task Offloading in Mobile Blockchain with Deep Reinforcement Learning
Blockchain technology with its secure, transparent and decentralized nature has been recently employed in many mobile applications.
Federated Learning for Internet of Things: A Comprehensive Survey
The Internet of Things (IoT) is penetrating many facets of our daily life with the proliferation of intelligent services and applications empowered by artificial intelligence (AI).
Federated Learning for Industrial Internet of Things in Future Industries
The Industrial Internet of Things (IIoT) offers promising opportunities to transform the operation of industrial systems and becomes a key enabler for future industries.
6G Internet of Things: A Comprehensive Survey
The sixth generation (6G) wireless communication networks are envisioned to revolutionize customer services and applications via the Internet of Things (IoT) towards a future of fully intelligent and autonomous systems.
BEdgeHealth: A Decentralized Architecture for Edge-based IoMT Networks Using Blockchain
The healthcare industry has witnessed significant transformations in e-health services by using mobile edge computing (MEC) and blockchain to facilitate healthcare operations.
Cooperative Task Offloading and Block Mining in Blockchain-based Edge Computing with Multi-agent Deep Reinforcement Learning
The convergence of mobile edge computing (MEC) and blockchain is transforming the current computing services in mobile networks, by offering task offloading solutions with security enhancement empowered by blockchain mining.
Federated Learning for Smart Healthcare: A Survey
Recent advances in communication technologies and Internet-of-Medical-Things have transformed smart healthcare enabled by artificial intelligence (AI).
Cybersecurity Challenges of Power Transformers
The rise of cyber threats on critical infrastructure and its potential for devastating consequences, has significantly increased.
