Intelligent multi-modal sensing-communication integration: Synesthesia of machines
In the era of sixth-generation (6G) wireless communications, integrated sensing and
communications (ISAC) is recognized as a promising solution to upgrade the physical …
communications (ISAC) is recognized as a promising solution to upgrade the physical …
DetFed: Dynamic resource scheduling for deterministic federated learning over time-sensitive networks
In this paper, we present a three-layer (ie, device, field, and factory layers) deterministic
federated learning (FL) framework, named DetFed, which accelerates collaborative learning …
federated learning (FL) framework, named DetFed, which accelerates collaborative learning …
Web3 technologies: Challenges and opportunities
Different from “read” based Web1 and “read-write” based Web2,“read-write-own” based
Web3 is proposed as a typical user-centric Internet to open the new generation of the World …
Web3 is proposed as a typical user-centric Internet to open the new generation of the World …
Collective deep reinforcement learning for intelligence sharing in the internet of intelligence-empowered edge computing
Edge intelligence is emerging as a new interdiscipline to push learning intelligence from
remote centers to the edge of the network. However, with its widespread deployment, new …
remote centers to the edge of the network. However, with its widespread deployment, new …
Workflow scheduling in serverless edge computing for the industrial internet of things: A learning approach
Serverless edge computing is seen as a promising enabler to execute differentiated
Industrial Internet of Things (IIoT) applications without managing the underlying servers and …
Industrial Internet of Things (IIoT) applications without managing the underlying servers and …
Siats: A service intent-aware task scheduling framework for computing power networks
Currently, data processing employs a three-tier computing power architecture
encompassing cloud, edge, and end. However, under such an architecture, large-scale …
encompassing cloud, edge, and end. However, under such an architecture, large-scale …
Joint service deployment and task scheduling for satellite edge computing: A two-timescale hierarchical approach
In this paper, we establish a two-timescale framework for the joint service deployment and
task scheduling problem in satellite edge computing networks. We aim to optimize the …
task scheduling problem in satellite edge computing networks. We aim to optimize the …
Flow based containerized honeypot approach for network traffic analysis: An empirical study
SC Sethuraman, TG Jadapalli, DPV Sudhakaran… - Computer Science …, 2023 - Elsevier
The world of connected devices has been attributed to applications that relied upon
multitude of devices to acquire and distribute data over extremely diverse networks. This …
multitude of devices to acquire and distribute data over extremely diverse networks. This …
Task-oriented 6G native-AI network architecture
Y Yang, J Wu, T Chen, C Peng, J Wang, J Deng… - IEEE …, 2023 - ieeexplore.ieee.org
The vision for 6G networks is to offer pervasive intelligence and internet of intelligence, in
which the networks natively support artificial intelligence (AI), empower smart applications …
which the networks natively support artificial intelligence (AI), empower smart applications …
Adaptive Data Transmission and Computing for Vehicles in the Internet-of-Intelligence
Efficient scheduling of vehicle resources is of great significance to guarantee vehicle safety
and to achieve a higher level of automated driving. Considering the performance …
and to achieve a higher level of automated driving. Considering the performance …