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 …
Holistic network virtualization and pervasive network intelligence for 6G
In this tutorial paper, we look into the evolution and prospect of network architecture and
propose a novel conceptual architecture for the 6th generation (6G) networks. The proposed …
propose a novel conceptual architecture for the 6th generation (6G) networks. The proposed …
Deep reinforcement learning based resource management for DNN inference in industrial IoT
Performing deep neural network (DNN) inference in real time requires excessive network
resources, which poses a big challenge to the resource-limited industrial Internet of things …
resources, which poses a big challenge to the resource-limited industrial Internet of things …
Distributed task scheduling in serverless edge computing networks for the internet of things: A learning approach
By delegating the infrastructure management, such as provisioning or scaling to third-party
providers, serverless edge computing has recently been widely adopted in several …
providers, serverless edge computing has recently been widely adopted in several …
Artificial intelligence implication on energy sustainability in Internet of Things: A survey
The massive number of Internet of Things (IoT) devices connected to the Internet is
continuously increasing. The operations of these devices rely on consuming huge amounts …
continuously increasing. The operations of these devices rely on consuming huge amounts …
EdgeAdaptor: Online configuration adaption, model selection and resource provisioning for edge DNN inference serving at scale
The accelerating convergence of artificial intelligence and edge computing has sparked a
recent wave of interest in edge intelligence. While pilot efforts focused on edge DNN …
recent wave of interest in edge intelligence. While pilot efforts focused on edge DNN …
Reliability-aware online scheduling for DNN inference tasks in mobile-edge computing
Mobile-edge computing (MEC) is widely envisioned as a promising technique for
provisioning artificial intelligence (AI) capability for resource-limited Internet of Things (IoT) …
provisioning artificial intelligence (AI) capability for resource-limited Internet of Things (IoT) …
Reinforcement learning based energy-efficient collaborative inference for mobile edge computing
Collaborative inference in mobile edge computing (MEC) enables mobile devices to offload
the computation tasks for the computation-intensive perception services, and the inference …
the computation tasks for the computation-intensive perception services, and the inference …
Enabling resource-efficient aiot system with cross-level optimization: A survey
The emerging field of artificial intelligence of things (AIoT, AI+ IoT) is driven by the
widespread use of intelligent infrastructures and the impressive success of deep learning …
widespread use of intelligent infrastructures and the impressive success of deep learning …
Advancements in accelerating deep neural network inference on aiot devices: A survey
The amalgamation of artificial intelligence with Internet of Things (AIoT) devices have seen a
rapid surge in growth, largely due to the effective implementation of deep neural network …
rapid surge in growth, largely due to the effective implementation of deep neural network …