Networking architecture and key supporting technologies for human digital twin in personalized healthcare: a comprehensive survey
Digital twin (DT), referring to a promising technique to digitally and accurately represent
actual physical entities, has attracted explosive interests from both academia and industry …
actual physical entities, has attracted explosive interests from both academia and industry …
Decentral and incentivized federated learning frameworks: A systematic literature review
The advent of federated learning (FL) has sparked a new paradigm of parallel and
confidential decentralized machine learning (ML) with the potential of utilizing the …
confidential decentralized machine learning (ML) with the potential of utilizing the …
An incentive mechanism of incorporating supervision game for federated learning in autonomous driving
Federated learning (FL), as a distributed machine learning technology, allows large-scale
nodes to utilize local datasets for model training and sharing without revealing privacy …
nodes to utilize local datasets for model training and sharing without revealing privacy …
Federated learning for edge computing: A survey
New technologies bring opportunities to deploy AI and machine learning to the edge of the
network, allowing edge devices to train simple models that can then be deployed in practice …
network, allowing edge devices to train simple models that can then be deployed in practice …
Three-stage Stackelberg game enabled clustered federated learning in heterogeneous UAV swarms
In the past decade, the unmanned aerial vehicles (UAVs) swarm has become a disruptive
force reshaping our lives and work. In particular, advances in artificial intelligence have …
force reshaping our lives and work. In particular, advances in artificial intelligence have …
Machine learning-based morphological and mechanical prediction of kirigami-inspired active composites
Kirigami-inspired designs hold great potential for the development of functional materials
and devices, but predicting the morphological configuration of these structures under …
and devices, but predicting the morphological configuration of these structures under …
Fairness and privacy preserving in federated learning: A survey
Federated Learning (FL) is an increasingly popular form of distributed machine learning that
addresses privacy concerns by allowing participants to collaboratively train machine …
addresses privacy concerns by allowing participants to collaboratively train machine …
A systematic review of federated learning from clients' perspective: challenges and solutions
Federated learning (FL) is a machine learning approach that decentralizes data and its
processing by allowing clients to train intermediate models on their devices with locally …
processing by allowing clients to train intermediate models on their devices with locally …
NVAS: a non-interactive verifiable federated learning aggregation scheme for COVID-19 based on game theory
H Deng, J Hu, R Sharma, M Mo, Y Ren - Computer Communications, 2023 - Elsevier
The continued spread of COVID-19 seriously endangers the physical and mental health of
people in all countries. It is an important method to establish inter agency COVID-19 …
people in all countries. It is an important method to establish inter agency COVID-19 …
UAV-assisted online machine learning over multi-tiered networks: A hierarchical nested personalized federated learning approach
We investigate training machine learning (ML) models across a set of geo-distributed,
resource-constrained clusters of devices through unmanned aerial vehicles (UAV) swarms …
resource-constrained clusters of devices through unmanned aerial vehicles (UAV) swarms …