… for machine learning (ML) purposes. The easily changed behaviors of edge infrastructure
that … to collate IoT data at edge servers and gateways, where federated learning (FL) can be …

… capabilities of end devices and edge servers to process data closer to where it is … Edge
Intelligence is the privacy preserving machine learning paradigm known as Federated Learning (…

… edge devices as well as the ubiquitous coverage envisioned by 6G. To empower edge
intelligence… ed learning (AGIFL), which organically integrates air-ground integrated networks and …

… -fold Federated Edge Aggregator, the so-called Edge Intelligence, a federated learning-based
privacy protection framework for safeguarding Smart Healthcare Systems at the edge …

… survey of the fundamentals and enabling technologies of federated learning (FL), a newly
emerging technique coined to bring ML to the edge of wireless networks. Moreover, an …

… edge intelligence service is achieved through the creation of a network of nodes that incorporates
federated learning with blockchain, called iFLBC edge… incorporating federated learning…

… the current deep learning techniques, we propose to integrate the Deep … Learning techniques
and Federated Learning framework with mobile edge systems, for optimizing mobile edge …

… an attention-based federated learning approach for customer analysis at the edge of mobile
… The locally trained model and sharing the model weights by using federated learning helps …

… edge devices as well as the ubiquitous coverage envisioned by 6G. To empower the edge
intelligence, … AGIFL (Air-Ground Integrated Federated Learning), which organically integrates …

… This paper focuses mainly on discussing the combination of blockchain and federated
learning for drone edge intelligence in smart and green environment and highlighting the …