Decentralized federated learning: Fundamentals, state of the art, frameworks, trends, and challenges
In recent years, Federated Learning (FL) has gained relevance in training collaborative
models without sharing sensitive data. Since its birth, Centralized FL (CFL) has been the …
models without sharing sensitive data. Since its birth, Centralized FL (CFL) has been the …
A survey on trustworthy edge intelligence: From security and reliability to transparency and sustainability
Edge Intelligence (EI) integrates Edge Computing (EC) and Artificial Intelligence (AI) to push
the capabilities of AI to the network edge for real-time, efficient and secure intelligent …
the capabilities of AI to the network edge for real-time, efficient and secure intelligent …
Trust in edge-based internet of things architectures: state of the art and research challenges
The Internet of Things (IoT) aims to enable a scenario where smart objects, inserted into
information networks, supply smart services for human beings. The introduction of edge …
information networks, supply smart services for human beings. The introduction of edge …
Trustworthy federated learning via blockchain
The safety-critical scenarios of artificial intelligence (AI), such as autonomous driving,
Internet of Things, smart healthcare, etc., have raised critical requirements of trustworthy AI …
Internet of Things, smart healthcare, etc., have raised critical requirements of trustworthy AI …
Advanced deep learning models for 6G: overview, opportunities and challenges
The advent of the sixth generation of mobile communications (6G) ushers in an era of
heightened demand for advanced network intelligence to tackle the challenges of an …
heightened demand for advanced network intelligence to tackle the challenges of an …
Anti-Counterfeiting and Traceability Consensus Algorithm Based on Weightage to Contributors in a Food Supply Chain of Industry 4.0
Supply chain management can significantly benefit from contemporary technologies. Among
these technologies, blockchain is considered suitable for anti-counterfeiting and traceability …
these technologies, blockchain is considered suitable for anti-counterfeiting and traceability …
Trusted AI in multiagent systems: An overview of privacy and security for distributed learning
Motivated by the advancing computational capacity of distributed end-user equipment (UE),
as well as the increasing concerns about sharing private data, there has been considerable …
as well as the increasing concerns about sharing private data, there has been considerable …
Improved modulation recognition using personalized federated learning
There are various types of signals around us and recognizing the signals allows a network
system to effectively and efficiently transmit from the sender to the receiver. Signals can be …
system to effectively and efficiently transmit from the sender to the receiver. Signals can be …
Secure and scalable blockchain-based federated learning for cryptocurrency fraud detection: A systematic review
With the wide adoption of cryptocurrency, blockchain technologies have become the
foundation of such digital currencies. However, this adoption has been accompanied by a …
foundation of such digital currencies. However, this adoption has been accompanied by a …
A survey of state-of-the-art on edge computing: Theoretical models, technologies, directions, and development paths
B Liu, Z Luo, H Chen, C Li - IEEE Access, 2022 - ieeexplore.ieee.org
In order to describe the roadmap of current edge computing research activities, we first
address a brief overview of the most advanced edge computing surveys published in the last …
address a brief overview of the most advanced edge computing surveys published in the last …