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Machine Learning at the Network Edge: A Survey [article]

M.G. Sarwar Murshed, Christopher Murphy, Daqing Hou, Nazar Khan, Ganesh Ananthanarayanan, Faraz Hussain
2021 arXiv   pre-print
, frameworks, and hardware used in successful applications of intelligent edge systems.  ...  This survey describes major research efforts where machine learning systems have been deployed at the edge of computer networks, focusing on the operational aspects including compression techniques, tools  ...  Also, SeeDot-generated code was 5.2-9.8 times faster than code generated by high-level synthesis tools on an FPGA-based implementation.  ... 
arXiv:1908.00080v4 fatcat:mw4lwwvzf5gupjr6pgdgnabeuu