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 …
Multi-objective parallel task offloading and content caching in D2D-aided MEC networks
In device to device (D2D) aided mobile edge computing (MEC) networks, by implementing
content caching and D2D links, the edge server and nearby mobile devices can provide task …
content caching and D2D links, the edge server and nearby mobile devices can provide task …
Digital twin assisted task offloading for aerial edge computing and networks
B Li, Y Liu, L Tan, H Pan… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Considering the user mobility and unpredictable mobile edge computing (MEC)
environments, this paper studies the intelligent task offloading problem in unmanned aerial …
environments, this paper studies the intelligent task offloading problem in unmanned aerial …
Privacy-preserving offloading scheme in multi-access mobile edge computing based on MADRL
G Wu, X Chen, Z Gao, H Zhang, S Yu, S Shen - Journal of Parallel and …, 2024 - Elsevier
With the development of industrialization and intelligence, the Industrial Internet of Things
(IIoT) has gradually become the direction for traditional industries to transform into modern …
(IIoT) has gradually become the direction for traditional industries to transform into modern …
Multimodal semantic communication accelerated bidirectional caching for 6G MEC
Abstract Mobile Edge Computing (MEC) enables immersive XR with multimodal data by
coordinating communication, computation, and caching (3C) resources upcoming 6G. The …
coordinating communication, computation, and caching (3C) resources upcoming 6G. The …
A survey of energy optimization approaches for computational task offloading and resource allocation in MEC networks
With the increased penetration of cloud computing and virtualization, a plethora of internet of
things devices have been deployed globally. As a result, computationally intensive tasks are …
things devices have been deployed globally. As a result, computationally intensive tasks are …
Computation offloading and service caching for intelligent transportation systems with digital twin
Mobile edge computing (MEC) provides a novel computing paradigm to satisfy the
increasing computation requirements of mobile applications. In MEC-enabled intelligent …
increasing computation requirements of mobile applications. In MEC-enabled intelligent …
Low-latency federated learning over wireless channels with differential privacy
In federated learning (FL), model training is distributed over clients and local models are
aggregated by a central server. The performance of uploaded models in such situations can …
aggregated by a central server. The performance of uploaded models in such situations can …
Reinforcement learning-empowered mobile edge computing for 6G edge intelligence
Mobile edge computing (MEC) is considered a novel paradigm for computation-intensive
and delay-sensitive tasks in fifth generation (5G) networks and beyond. However, its …
and delay-sensitive tasks in fifth generation (5G) networks and beyond. However, its …
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) …