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Found 6 papers, 3 papers with code
ReSup: Reliable Label Noise Suppression for Facial Expression Recognition
To further enhance the reliability of our noise decision results, ReSup uses two networks to jointly achieve noise suppression.
Facial Expression Recognition
Facial Expression Recognition (FER)
TinyQMIX: Distributed Access Control for mMTC via Multi-agent Reinforcement Learning
Therefore, the trained agents are able to quickly adapt to dynamic traffic and provide low access delay.
Multi-agent Reinforcement Learning
reinforcement-learning
+1
Computation Offloading in Beyond 5G Networks: A Distributed Learning Framework and Applications
Facing the trend of merging wireless communications and multi-access edge computing (MEC), this article studies computation offloading in the beyond fifth-generation networks.
Information Freshness-Aware Task Offloading in Air-Ground Integrated Edge Computing Systems
Using the proposed deep RL scheme, each MU in the system is able to make decisions without a priori statistical knowledge of dynamics.
Understanding the Modeling of Computer Network Delays using Neural Networks
In this context, ML can be used as a computer network modeling technique to build models that estimate the network performance.
Optimized Computation Offloading Performance in Virtual Edge Computing Systems via Deep Reinforcement Learning
To improve the quality of computation experience for mobile devices, mobile-edge computing (MEC) is a promising paradigm by providing computing capabilities in close proximity within a sliced radio access network (RAN), which supports both traditional communication and MEC services.
