Latency optimization for blockchain-empowered federated learning in multi-server edge computing
In this paper, we study a new latency optimization problem for blockchain-based federated
learning (BFL) in multi-server edge computing. In this system model, distributed mobile …
learning (BFL) in multi-server edge computing. In this system model, distributed mobile …
Exploiting blockchain to make AI trustworthy: A software development lifecycle view
P Zhang, S Ding, Q Zhao - ACM Computing Surveys, 2024 - dl.acm.org
Artificial intelligence (AI) is a very powerful technology and can be a potential disrupter and
essential enabler. As AI expands into almost every aspect of our lives, people raise serious …
essential enabler. As AI expands into almost every aspect of our lives, people raise serious …
A fast blockchain-based federated learning framework with compressed communications
Recently, blockchain-based federated learning (BFL) has attracted intensive research
attention due to that the training process is auditable and the architecture is serverless …
attention due to that the training process is auditable and the architecture is serverless …
[HTML][HTML] A systematic review of privacy-preserving methods deployed with blockchain and federated learning for the telemedicine
The unexpected and rapid spread of the COVID-19 pandemic has amplified the acceptance
of remote healthcare systems such as telemedicine. Telemedicine effectively provides …
of remote healthcare systems such as telemedicine. Telemedicine effectively provides …
Block-FeST: A blockchain-based federated anomaly detection framework with computation offloading using transformers
Internet of Things (IoT) devices generate a massive amount of data on a regular basis. This
data has the potential to revolutionize every sector by developing intelligent systems …
data has the potential to revolutionize every sector by developing intelligent systems …
Federated learning in robotic and autonomous systems
Autonomous systems are becoming inherently ubiquitous with the advancements of
computing and communication solutions enabling low-latency offloading and real-time …
computing and communication solutions enabling low-latency offloading and real-time …
Federated learning for medical applications: A taxonomy, current trends, challenges, and future research directions
With the advent of the Internet of Things (IoT), Artificial Intelligence (AI), Machine Learning
(ML), and Deep Learning (DL) algorithms, the landscape of data-driven medical applications …
(ML), and Deep Learning (DL) algorithms, the landscape of data-driven medical applications …
Swarm intelligence for next-generation networks: Recent advances and applications
In next-generation networks (NGN), a very large number of devices and applications are
emerged, along with the heterogeneity of technologies, architectures, mobile data, etc., and …
emerged, along with the heterogeneity of technologies, architectures, mobile data, etc., and …
The role of network slicing and edge computing in the metaverse realization
S Karunarathna, S Wijethilaka, P Ranaweera… - IEEE …, 2023 - ieeexplore.ieee.org
Metaverse is the latest technological hype in the modern world due to its potential for
revolutionizing the digital visual perspective. With the COVID-19 pandemic, most industries …
revolutionizing the digital visual perspective. With the COVID-19 pandemic, most industries …
Asynchronous federated learning with directed acyclic graph-based blockchain in edge computing: Overview, design, and challenges
Abstract Asynchronous Federated Learning (AFL) has been introduced to improve the
efficiency of FL by reducing the latency of Machine Learning (ML) model aggregation …
efficiency of FL by reducing the latency of Machine Learning (ML) model aggregation …