A survey on integrated sensing, communication, and computation
The forthcoming generation of wireless technology, 6G, promises a revolutionary leap
beyond traditional data-centric services. It aims to usher in an era of ubiquitous intelligent …
beyond traditional data-centric services. It aims to usher in an era of ubiquitous intelligent …
Federated split learning for edge intelligence in resource-constrained wireless networks
H Ao, H Tian, W Ni - IEEE Transactions on Consumer …, 2024 - ieeexplore.ieee.org
The rapid advancement of the Internet of Things (IoT) and artificial intelligence has
significantly increased the number of consumer electronics devices. Traditional federated …
significantly increased the number of consumer electronics devices. Traditional federated …
Joint device scheduling and resource allocation for iscc-based multi-view-multi-task inference
This article investigates an integrated sensing-communication-computation (ISCC)-based
multiview-multitask (MVMT) edge artificial intelligence inference system. Each device …
multiview-multitask (MVMT) edge artificial intelligence inference system. Each device …
Multiple Access in the Era of Distributed Computing and Edge Intelligence
This paper focuses on the latest research and innovations in fundamental next-generation
multiple access (NGMA) techniques and the coexistence with other key technologies for the …
multiple access (NGMA) techniques and the coexistence with other key technologies for the …
Over-the-Air Computation Empowered Vertically Split Inference
To tackle the issue of heterogeneous input raw data samples obtained by different devices
and enhance the feature extraction capability of edge devices, we propose a vertically split …
and enhance the feature extraction capability of edge devices, we propose a vertically split …
Split Learning in Computer Vision for Semantic Segmentation Delay Minimization
In this paper, we propose a novel approach to minimize the inference delay in semantic
segmentation using split learning (SL), tailored to the needs of real-time computer vision …
segmentation using split learning (SL), tailored to the needs of real-time computer vision …