Socialized learning: A survey of the paradigm shift for edge intelligence in networked systems
Amidst the robust impetus from artificial intelligence (AI) and big data, edge intelligence (EI)
has emerged as a nascent computing paradigm, synthesizing AI with edge computing (EC) …
has emerged as a nascent computing paradigm, synthesizing AI with edge computing (EC) …
[HTML][HTML] An intelligent resource allocation strategy with slicing and auction for private edge cloud systems
The convergence of transformative technologies, including the Internet of Things (IoT), Big
Data, and Artificial Intelligence (AI), has driven private edge cloud systems to the forefront of …
Data, and Artificial Intelligence (AI), has driven private edge cloud systems to the forefront of …
A Systematic Map** Study of UAV-Enabled Mobile Edge Computing for Task Offloading
Utilizing Unmanned Aerial Vehicles (UAVs) as flying edge nodes to support task offloading
from terminal devices has recently attracted significant research attention. However, the …
from terminal devices has recently attracted significant research attention. However, the …
Stackelberg game-based dependency-aware task offloading and resource pricing in vehicular edge networks
Vehicular edge computing (VEC) is an effective paradigm in Internet of Vehicles (IoV), which
allows vehicles to offload delay-sensitive tasks to nearby road side units (RSUs) for …
allows vehicles to offload delay-sensitive tasks to nearby road side units (RSUs) for …
Swin transformer-based dynamic semantic communication for multi-user with different computing capacity
Semantic communication has gained significant attention from researchers as a promising
technique to replace conventional communication in the next generation of communication …
technique to replace conventional communication in the next generation of communication …
Low-complexity and efficient dependent subtask offloading strategy in IoT integrated with multi-access edge computing
Multi-access edge computing (MEC) has been booming in recent years, as it promises to
fulfill the growing low-latency requirements of applications on large amounts of Internet of …
fulfill the growing low-latency requirements of applications on large amounts of Internet of …
Profit-aware cooperative offloading in uav-enabled mec systems using lightweight deep reinforcement learning
In mobile edge computing (MEC) systems, unmanned aerial vehicles (UAVs) facilitate edge
service providers (ESPs) offering flexible resource provisioning with broader communication …
service providers (ESPs) offering flexible resource provisioning with broader communication …
Incentive mechanisms for online task offloading with privacy-preserving in UAV-assisted mobile edge computing
Unmanned aerial vehicles (UAVs) have emerged as a promising technology to provide low-
latency mobile edge computing (MEC) services. To fully utilize the potential of UAV-assisted …
latency mobile edge computing (MEC) services. To fully utilize the potential of UAV-assisted …
Collaborative computation offloading and wireless charging scheduling in multi-UAV-assisted MEC networks: A TD3-based approach
Computation offloading, resource allocation, and endurance issues in unmanned aerial
vehicle (UAV)-aided mobile edge computing (MEC) networks have always been a research …
vehicle (UAV)-aided mobile edge computing (MEC) networks have always been a research …
Comprehensive Survey on Reinforcement Learning-Based Task Offloading Techniques in Aerial Edge Computing
Aerial edge computing (AEC) has emerged as a pivotal platform offering low-latency
computation services, seamless deployability, rapid operationality, and high maneuverability …
computation services, seamless deployability, rapid operationality, and high maneuverability …