RS-DGC: Exploring Neighborhood Statistics for Dynamic Gradient Compression on Remote Sensing Image Interpretation
Distributed deep learning has recently been attracting more attention in remote sensing (RS)
applications due to the challenges posed by the increased amount of open data that are …
applications due to the challenges posed by the increased amount of open data that are …
CL-SGD: Efficient Communication by Clustering and Local-SGD for Distributed Machine Learning
H Chen, WX Liu, M Tan, J Luo - ICC 2023-IEEE International …, 2023 - ieeexplore.ieee.org
Training a deep neural network model requires frequent communications between
machines, and heavy communication traffic limits the scalability of the distributed ma-chine …
machines, and heavy communication traffic limits the scalability of the distributed ma-chine …