Distance-aware hierarchical federated learning in blockchain-enabled edge computing network
Federated learning (FL) has been proposed as an emerging paradigm to perform privacy-
preserving distributed machine learning in the Internet of Things (IoT). However, the …
preserving distributed machine learning in the Internet of Things (IoT). However, the …
A Novel Blockchain-Assisted Aggregation Scheme for Federated Learning in IoT Networks
With the wide range of Internet of Things (IoT) applications, federated learning (FL) is
commonly adopted to protect the privacy of IoT data. FL enables privacy-preserving model …
commonly adopted to protect the privacy of IoT data. FL enables privacy-preserving model …
Communication-efficient and cross-chain empowered federated learning for artificial intelligence of things
Conventional machine learning approaches aggregate all training data in a central server,
which causes massive communication overhead of data transmission and is also vulnerable …
which causes massive communication overhead of data transmission and is also vulnerable …
Adaptive resource allocation for blockchain-based federated learning in internet of things
The fast development of mobile communication and artificial intelligence (AI) technologies
greatly promotes the prosperity of the Internet of Things (IoT), where various types of IoT …
greatly promotes the prosperity of the Internet of Things (IoT), where various types of IoT …
BESIFL: Blockchain-empowered secure and incentive federated learning paradigm in IoT
Federated learning (FL) offers a promising approach to efficient machine learning with
privacy protection in distributed environments, such as Internet of Things (IoT) and mobile …
privacy protection in distributed environments, such as Internet of Things (IoT) and mobile …
Two-layered blockchain architecture for federated learning over the mobile edge network
Federated learning (FL) is seen as a road toward privacy-preserving distributed artificial
intelligence while keeping raw training data on local devices. By leveraging blockchain, this …
intelligence while keeping raw training data on local devices. By leveraging blockchain, this …
Privacy-preserving blockchain-enabled federated learning for B5G-Driven edge computing
The arrival of the fifth-generation technology standard for broadband cellular networks (5G)
and beyond 5G networks (B5G) rises the speed and robustness ceiling of communicating …
and beyond 5G networks (B5G) rises the speed and robustness ceiling of communicating …
Fl-sec: Privacy-preserving decentralized federated learning using signsgd for the internet of artificially intelligent things
The wide proliferation of the Internet of Things (IoT) and the unimaginable rapid advance of
artificial intelligence (AI) jointly facilitate the Internet of Artificially Intelligent Things (A-IoT) …
artificial intelligence (AI) jointly facilitate the Internet of Artificially Intelligent Things (A-IoT) …
Integration of blockchain and federated learning for Internet of Things: Recent advances and future challenges
The role of the Internet of Things (IoT) in the revolutionized society cannot be overlooked.
The IoT can leverage advanced machine learning (ML) algorithms for its applications …
The IoT can leverage advanced machine learning (ML) algorithms for its applications …
Jointly optimizing client selection and resource management in wireless federated learning for internet of things
Federated learning (FL) has been proposed to efficiently and privacy-preserving distributed
machine learning architecture for the Internet of Things (IoT). In a wireless FL system, clients …
machine learning architecture for the Internet of Things (IoT). In a wireless FL system, clients …