Abstract: Unsourced random access (URA) is crucial for future massive access scenarios. Existing URA schemes often use low-order modulation and assess performance with a limited number of active users ...
This project implements a Federated Random Forest (FRF) using the federated learning library Flower and the sklearn random forest classifier. It is demonstrated through three clients as an example.
Abstract: True random number generator (TRNG) and physical unclonable function (PUF) have been extensively used to secure low-cost Internet of Things (IoT) endpoints. In this paper, a lightweight ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results