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Found 2 papers, 1 papers with code
Multi-Armed Bandit Based Client Scheduling for Federated Learning
In each communication round of FL, the clients update local models based on their own data and upload their local updates via wireless channels.
Model-Driven Beamforming Neural Networks
We also offer enhancement methods such as training-set augmentation and transfer learning in order to improve the generality of BNNs, accompanied by computer simulation results and testbed results showing the performance of such BNN solutions.
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