Fair and Efficient Resource Scheduling in Heterogeneous Multi-Agent Systems

M Omidi - 2024 - uwspace.uwaterloo.ca
The performance of machine-learning applications heavily relies on the choice of the
underlying hardware architecture, encompassing factors such as computational power …