Abstract: In the realm of 5G networks, federated learning emerges as a promising paradigm for privacy-preserving distributed machine learning, particularly in load distribution for network slicing.
If you are interested in performing additional calculations on Promise<T>, you may find this small library useful. Mutex, producer-consumer separation (side-effect operation), signaling (flag control) ...
Abstract: Massive random access is a key challenge in massive machine-type communications (mMTC), which aims to support connectivity for a large number of devices. Most existing studies assume strict ...
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