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Found 6 papers, 0 papers with code
NetGPT: A Native-AI Network Architecture Beyond Provisioning Personalized Generative Services
Towards personalized generative services, a collaborative cloud-edge methodology is promising, as it facilitates the effective orchestration of heterogeneous distributed communication and computing resources.
RHFedMTL: Resource-Aware Hierarchical Federated Multi-Task Learning
The rapid development of artificial intelligence (AI) over massive applications including Internet-of-things on cellular network raises the concern of technical challenges such as privacy, heterogeneity and resource efficiency.
Semantics-enhanced Temporal Graph Networks for Content Popularity Prediction
On top of that, we customize its temporal and structural learning modules to further boost the prediction performance.
AoI-based Temporal Attention Graph Neural Network for Popularity Prediction and Content Caching
In this paper, to maximize the cache hit rate, we leverage an effective dynamic graph neural network (DGNN) to jointly learn the structural and temporal patterns embedded in the bipartite graph.
Rethinking Modern Communication from Semantic Coding to Semantic Communication
Modern communications are usually designed to pursue a higher bit-level precision and fewer bits while transmitting a message.
Learning Deep Representations by Mutual Information for Person Re-identification
Most existing person re-identification (ReID) methods have good feature representations to distinguish pedestrians with deep convolutional neural network (CNN) and metric learning methods.
