Abstract: Federated learning is an important distributed machine learning paradigm. This study proposes a privacy-preserving data augmentation model for federated learning of heterogeneous data, which ...
I have re-examined the method for extracting the tree height (height above ground) for each individual tree from point clouds and incorporated it into the tree height calculation section of the ...
Abstract: This paper presents a novel network slice-enabled federated learning framework for collaborative traffic perception in vehicular edge computing environments. The proposed approach integrates ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results