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Mapping Wireless Networks into Digital Reality through Joint Vertical and Horizontal Learning
In recent years, the complexity of 5G and beyond wireless networks has escalated, prompting a need for innovative frameworks to facilitate flexible management and efficient deployment.
Poisoning Attacks on Federated Learning-based Wireless Traffic Prediction
Federated Learning (FL) offers a distributed framework to train a global control model across multiple base stations without compromising the privacy of their local network data.
Sample and Communication Efficient Fully Decentralized MARL Policy Evaluation via a New Approach: Local TD update
This leads to an interesting open question: Can the local TD-update approach entail low sample and communication complexities?
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