Deep Reinforcement Learning for Privacy-Preserving Task Offloading in Integrated Satellite-Terrestrial Networks. (arXiv:2306.17183v1 [cs.CR])

Satellite communication networks have attracted widespread attention for
seamless network coverage and collaborative computing. In satellite-terrestrial
networks, ground users can offload computing tasks to visible satellites that
with strong computational capabilities. Existing solutions on
satellite-assisted task computing generally focused on system performance
optimization such as task completion time and energy consumption. However, due
to the high-speed mobility pattern and unreliable communication channels,
existing methods still suffer from serious privacy leakages. In this paper, we
present an integrated satellite-terrestrial network to …

attention capabilities communication computational computing network networks optimization performance privacy satellite satellite communication satellites solutions system task visible