Robert Canady, Xingyu Zhou 0010, Yogesh D. Barve, Daniel Balasubramanian, Aniruddha Gokhale. Applying DDDAS Principles for Realizing Optimized and Robust Deep Learning Models at the Edge. In Erik Blasch, Frederica Darema, Alex Aved, editors, Dynamic Data Driven Applications Systems - 4th International Conference, DDDAS 2022, Cambridge, MA, USA, October 6-10, 2022, Proceedings. Volume 13984 of Lecture Notes in Computer Science, pages 325-339, Springer, 2022. [doi]
@inproceedings{Canady0BBG22-0,
title = {Applying DDDAS Principles for Realizing Optimized and Robust Deep Learning Models at the Edge},
author = {Robert Canady and Xingyu Zhou 0010 and Yogesh D. Barve and Daniel Balasubramanian and Aniruddha Gokhale},
year = {2022},
doi = {10.1007/978-3-031-52670-1_32},
url = {https://doi.org/10.1007/978-3-031-52670-1_32},
researchr = {https://researchr.org/publication/Canady0BBG22-0},
cites = {0},
citedby = {0},
pages = {325-339},
booktitle = {Dynamic Data Driven Applications Systems - 4th International Conference, DDDAS 2022, Cambridge, MA, USA, October 6-10, 2022, Proceedings},
editor = {Erik Blasch and Frederica Darema and Alex Aved},
volume = {13984},
series = {Lecture Notes in Computer Science},
publisher = {Springer},
isbn = {978-3-031-52670-1},
}