cfaed Publications
Efficient Post-Training Augmentation for Adaptive Inference in Heterogeneous and Distributed IoT Environments
Reference
Max Sponner, Lorenzo Servadei, Bernd Waschneck, Robert Wille, Akash Kumar, "Efficient Post-Training Augmentation for Adaptive Inference in Heterogeneous and Distributed IoT Environments", Proceedings of the IEEE International Conference on Embedded Computer Systems Architectures Modeling and Simulation (SAMOS), 2024. (Best poster award)
Bibtex
@InProceedings{max_samos24,
author = {Max Sponner and Lorenzo Servadei and Bernd Waschneck and Robert Wille and Akash Kumar},
title = {Efficient Post-Training Augmentation for Adaptive Inference in Heterogeneous and Distributed IoT Environments},
booktitle = {Proceedings of the IEEE International Conference on Embedded Computer Systems Architectures Modeling and Simulation (SAMOS)},
year = {2024},
volume = {},
pages = {},
organization = {IEEE},
doi = {},
comment={Best poster award},
}
author = {Max Sponner and Lorenzo Servadei and Bernd Waschneck and Robert Wille and Akash Kumar},
title = {Efficient Post-Training Augmentation for Adaptive Inference in Heterogeneous and Distributed IoT Environments},
booktitle = {Proceedings of the IEEE International Conference on Embedded Computer Systems Architectures Modeling and Simulation (SAMOS)},
year = {2024},
volume = {},
pages = {},
organization = {IEEE},
doi = {},
comment={Best poster award},
}
Downloads
2403 [07957V1]
Permalink
https://cfaed.tu-dresden.de/publications?pubId=3795