Edge intelligence in intelligent transportation systems: A survey
Edge intelligence (EI) is becoming one of the research hotspots among researchers, which
is believed to help empower intelligent transportation systems (ITS). ITS generates a large …
is believed to help empower intelligent transportation systems (ITS). ITS generates a large …
Federated learning-empowered mobile network management for 5G and beyond networks: From access to core
The fifth generation (5G) and beyond wireless networks are envisioned to provide an
integrated communication and computing platform that will enable multipurpose and …
integrated communication and computing platform that will enable multipurpose and …
A survey of blockchain and intelligent networking for the metaverse
The virtual world created by the development of the Internet, computers, artificial intelligence
(AI), and hardware technologies have brought various degrees of digital transformation to …
(AI), and hardware technologies have brought various degrees of digital transformation to …
Asynchronous deep reinforcement learning for collaborative task computing and on-demand resource allocation in vehicular edge computing
Vehicular Edge Computing (VEC) is enjoying a surge in research interest due to the
remarkable potential to reduce response delay and alleviate bandwidth pressure. Facing the …
remarkable potential to reduce response delay and alleviate bandwidth pressure. Facing the …
Heterogeneous computation and resource allocation for wireless powered federated edge learning systems
Federated learning (FL) is a popular edge learning approach that utilizes local data and
computing resources of network edge devices to train machine learning (ML) models while …
computing resources of network edge devices to train machine learning (ML) models while …
QoE fairness resource allocation in digital twin-enabled wireless virtual reality systems
Wireless virtual reality (VR) is expected to be a technology that revolutionizes human
interaction and perceived media, where the quality of experience (QoE) is an important …
interaction and perceived media, where the quality of experience (QoE) is an important …
Hierarchical federated learning with quantization: Convergence analysis and system design
Federated learning (FL) is a powerful distributed machine learning framework where a
server aggregates models trained by different clients without accessing their private data …
server aggregates models trained by different clients without accessing their private data …
HiFlash: Communication-efficient hierarchical federated learning with adaptive staleness control and heterogeneity-aware client-edge association
Federated learning (FL) is a promising paradigm that enables collaboratively learning a
shared model across massive clients while kee** the training data locally. However, for …
shared model across massive clients while kee** the training data locally. However, for …
SmartDID: a novel privacy-preserving identity based on blockchain for IoT
Internet of Things (IoT) applications have penetrated into all aspects of human life. Millions
of IoT users and devices, online services, and applications combine to create a complex and …
of IoT users and devices, online services, and applications combine to create a complex and …
Reputation management for consensus mechanism in vehicular edge metaverse
Metaverse is a visually rich virtual space in which users can interact with each other. By
introducing metaverse into vehicular networks, vehicular metaverse can provide users real …
introducing metaverse into vehicular networks, vehicular metaverse can provide users real …