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Found 6 papers, 1 papers with code
Client Orchestration and Cost-Efficient Joint Optimization for NOMA-Enabled Hierarchical Federated Learning
Subsequently, given the fuzzy based client-edge association, a joint edge server scheduling and resource allocation problem is formulated.
MIM-GAN-based Anomaly Detection for Multivariate Time Series Data
To avoid the local optimal solution of loss function and the model collapse, we introduce an exponential information measure into the loss function of GAN.
MBrain: A Multi-channel Self-Supervised Learning Framework for Brain Signals
Intuitively, brain signals, generated by the firing of neurons, are transmitted among different connecting structures in human brain.
MMGA: Multimodal Learning with Graph Alignment
In this paper, we propose MMGA (Multimodal learning with Graph Alignment), a novel multimodal pre-training framework to incorporate information from graph (social network), image and text modalities on social media to enhance user representation learning.
Energy-Efficient Design for a NOMA assisted STAR-RIS Network with Deep Reinforcement Learning
Simultaneous transmitting and reflecting reconfigurable intelligent surfaces (STAR-RISs) has been considered as a promising auxiliary device to enhance the performance of the wireless network, where users located at the different sides of the surfaces can be simultaneously served by the transmitting and reflecting signals.
Sparse Code Multiple Access for 6G Wireless Communication Networks: Recent Advances and Future Directions
As 5G networks rolling out in many different countries nowadays, the time has come to investigate how to upgrade and expand them towards 6G, where the latter is expected to realize the interconnection of everything as well as the development of a ubiquitous intelligent mobile world for intelligent life.
