Unleashing the power of edge-cloud generative ai in mobile networks: A survey of aigc services
Artificial Intelligence-Generated Content (AIGC) is an automated method for generating,
manipulating, and modifying valuable and diverse data using AI algorithms creatively. This …
manipulating, and modifying valuable and diverse data using AI algorithms creatively. This …
Combined federated and split learning in edge computing for ubiquitous intelligence in internet of things: State-of-the-art and future directions
Federated learning (FL) and split learning (SL) are two emerging collaborative learning
methods that may greatly facilitate ubiquitous intelligence in the Internet of Things (IoT) …
methods that may greatly facilitate ubiquitous intelligence in the Internet of Things (IoT) …
Efficient parallel split learning over resource-constrained wireless edge networks
The increasingly deeper neural networks hinder the democratization of privacy-enhancing
distributed learning, such as federated learning (FL), to resource-constrained devices. To …
distributed learning, such as federated learning (FL), to resource-constrained devices. To …
Federated learning in cloud-edge collaborative architecture: key technologies, applications and challenges
G Bao, P Guo - Journal of Cloud Computing, 2022 - Springer
In recent years, with the rapid growth of edge data, the novel cloud-edge collaborative
architecture has been proposed to compensate for the lack of data processing power of …
architecture has been proposed to compensate for the lack of data processing power of …
Federated split learning for sequential data in satellite–terrestrial integrated networks
W Jiang, H Han, Y Zhang, J Mu - Information Fusion, 2024 - Elsevier
Satellite–terrestrial integrated networks (STINs) have been proposed for B5G/6G mobile
communication, and the increase in the computation and communication capacities of …
communication, and the increase in the computation and communication capacities of …
Vehicle as a service (VaaS): Leverage vehicles to build service networks and capabilities for smart cities
Smart cities demand resources for rich immersive sensing, ubiquitous communications,
powerful computing, large storage, and high intelligence (SCCSI) to support various kinds of …
powerful computing, large storage, and high intelligence (SCCSI) to support various kinds of …
Split learning in 6g edge networks
With the proliferation of distributed edge computing resources, the 6G mobile network will
evolve into a network for connected intelligence. Along this line, the proposal to incorporate …
evolve into a network for connected intelligence. Along this line, the proposal to incorporate …
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 …
Splitlora: A split parameter-efficient fine-tuning framework for large language models
The scalability of large language models (LLMs) in handling high-complexity models and
large-scale datasets has led to tremendous successes in pivotal domains. While there is an …
large-scale datasets has led to tremendous successes in pivotal domains. While there is an …
Netgpt: A native-ai network architecture beyond provisioning personalized generative services
Large language models (LLMs) have triggered tremendous success to empower daily life by
generative information, and the personalization of LLMs could further contribute to their …
generative information, and the personalization of LLMs could further contribute to their …