Blockchain-based federated learning for securing internet of things: A comprehensive survey
The Internet of Things (IoT) ecosystem connects physical devices to the internet, offering
significant advantages in agility, responsiveness, and potential environmental benefits. The …
significant advantages in agility, responsiveness, and potential environmental benefits. The …
Federated learning for internet of things: Recent advances, taxonomy, and open challenges
The Internet of Things (IoT) will be ripe for the deployment of novel machine learning
algorithm for both network and application management. However, given the presence of …
algorithm for both network and application management. However, given the presence of …
Digital-twin-enabled 6G: Vision, architectural trends, and future directions
Internet of Everything (IoE) applications such as haptics, human-computer interaction, and
extended reality, using the sixth-generation (6G) of wireless systems have diverse …
extended reality, using the sixth-generation (6G) of wireless systems have diverse …
Blockchain for IoT-based smart cities: Recent advances, requirements, and future challenges
A remarkable interest in the Internet of Things (IoT)-based smart cities from both academia
and industry has been observed in recent years. Smart cities can offer various smart …
and industry has been observed in recent years. Smart cities can offer various smart …
Combining federated learning and edge computing toward ubiquitous intelligence in 6G network: Challenges, recent advances, and future directions
Full leverage of the huge volume of data generated on a large number of user devices for
providing intelligent services in the 6G network calls for Ubiquitous Intelligence (UI). A key to …
providing intelligent services in the 6G network calls for Ubiquitous Intelligence (UI). A key to …
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 …
Applications of federated learning; taxonomy, challenges, and research trends
The federated learning technique (FL) supports the collaborative training of machine
learning and deep learning models for edge network optimization. Although a complex edge …
learning and deep learning models for edge network optimization. Although a complex edge …
Metaverse for wireless systems: Vision, enablers, architecture, and future directions
Recently, significant research efforts have been initiated to enable the next-generation--the
sixth-generation (6G)--wireless systems. In this article, we present a vision of the metaverse …
sixth-generation (6G)--wireless systems. In this article, we present a vision of the metaverse …
A survey on machine learning in Internet of Things: Algorithms, strategies, and applications
In the IoT and WSN era, large number of connected objects and sensing devices are
dedicated to collect, transfer, and generate a huge amount of data for a wide variety of fields …
dedicated to collect, transfer, and generate a huge amount of data for a wide variety of fields …
Reimagining multi-criterion decision making by data-driven methods based on machine learning: A literature review
Multi-criterion decision making (MCDM) methods can derive alternative rankings as
solutions to decision-making problems based on survey or historical data about the …
solutions to decision-making problems based on survey or historical data about the …