Federated learning for internet of things: A comprehensive survey

DC Nguyen, M Ding, PN Pathirana… - … Surveys & Tutorials, 2021 - ieeexplore.ieee.org
The Internet of Things (IoT) is penetrating many facets of our daily life with the proliferation of
intelligent services and applications empowered by artificial intelligence (AI). Traditionally …

Incentive mechanisms for federated learning: From economic and game theoretic perspective

X Tu, K Zhu, NC Luong, D Niyato… - IEEE transactions on …, 2022 - ieeexplore.ieee.org
Federated learning (FL) becomes popular and has shown great potentials in training large-
scale machine learning (ML) models without exposing the owners' raw data. In FL, the data …

Game theory in internet of things: A survey

C Chi, Y Wang, X Tong, M Siddula… - IEEE Internet of Things …, 2021 - ieeexplore.ieee.org
Internet of Things (IoT) devices are being used widely in the fields of smart city, smart grid,
environmental monitoring, Internet of Vehicles and other fields that need large-scale sensing …

[HTML][HTML] Security and privacy threats to federated learning: Issues, methods, and challenges

J Zhang, H Zhu, F Wang, J Zhao, Q Xu… - Security and …, 2022 - hindawi.com
Federated learning (FL) has nourished a promising method for data silos, which enables
multiple participants to construct a joint model collaboratively without centralizing data. The …

Three-stage stackelberg game enabled clustered federated learning in heterogeneous UAV swarms

W He, H Yao, T Mai, F Wang… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
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 …

A systematic review of federated learning incentive mechanisms and associated security challenges

A Ali, I Ilahi, A Qayyum, I Mohammed… - Computer Science …, 2023 - Elsevier
In response to various privacy risks, researchers and practitioners have been exploring
different paradigms that can leverage the increased computational capabilities of consumer …

Federated Learning-Empowered Mobile Network Management for 5G and Beyond Networks: From Access to Core

J Lee, F Solat, TY Kim, HV Poor - … Communications Surveys & …, 2024 - ieeexplore.ieee.org
The fifth generation (5G) and beyond wireless networks are envisioned to provide an
integrated communication and computing platform that will enable multipurpose and …

AI-Enhanced Cloud-Edge-Terminal Collaborative Network: Survey, Applications, and Future Directions

H Gu, L Zhao, Z Han, G Zheng… - … Surveys & Tutorials, 2023 - ieeexplore.ieee.org
The cloud-edge-terminal collaborative network (CETCN) is considered as a novel paradigm
for emerging applications owing to its huge potential in providing low-latency and ultra …

AI‐Enabled Sensing and Decision‐Making for IoT Systems

H Qinxia, S Nazir, M Li, H Ullah Khan, W Lianlian… - …, 2021 - Wiley Online Library
The influential stage of Internet of Things (IoT) has reformed all fields of life in general but
specifically with the emergence of artificial intelligence (AI) has drawn the attention of …

Double auction mechanism for resource allocation in satellite MEC

Z Li, C Jiang, L Kuang - IEEE Transactions on Cognitive …, 2021 - ieeexplore.ieee.org
With the rapid popularity of IoT devices and smart city technologies, mobile edge computing
considered as a promising technology appears, which can support real-time applications at …