@inproceedings{nokey,

title = {INDENT: Incremental Online Decision Tree Training for Domain-Specific Systems-on-Chip},

author = {Krishnakumar, Anish and Marculescu, Radu and Ogras, Umit Y},

year  = {2022},

date = {2022-10-30},

booktitle = {2022 IEEE/ACM International Conference On Computer Aided Design (ICCAD)},

keywords = {},

pubstate = {forthcoming},

tppubtype = {inproceedings}

}

@inproceedings{AlleneLF,

title = {Model Elasticity for Hardware Heterogeneity in Federated Learning Systems},

author = {Farcas, Allen-Jasmin and Chen, Xiaohan and Wang, Zhangyang and Marculescu, Radu},

year  = {2022},

date = {2022-10-17},

urldate = {2022-10-17},

booktitle = {FedEdge 2022 - 1st ACM Workshop on Data Privacy and Federated Learning Technologies for Mobile Edge Network},

keywords = {},

pubstate = {forthcoming},

tppubtype = {inproceedings}

}

@inproceedings{cvpr2021,

title = {How does topology influence gradient propagation and model performance of deep networks with DenseNet-type skip connections?},

author = {Bhardwaj, K. and Li, G. and Marculescu, R. },

url = {https://arxiv.org/pdf/1910.00780.pdf},

year  = {2021},

date = {2021-06-12},

urldate = {2021-06-12},

booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},

pages = {13498-13507},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{farcas2020hardware,

title = {A Hardware Prototype Targeting Distributed Deep Learning for On-Device Inference},

author = {Allen-Jasmin Farcas and Guihong Li and Kartikeya Bhardwaj and Radu Marculescu},

url = {https://openaccess.thecvf.com/content_CVPRW_2020/html/w28/Farcas_A_Hardware_Prototype_Targeting_Distributed_Deep_Learning_for_On-Device_Inference_CVPRW_2020_paper.html},

year  = {2020},

date = {2020-01-01},

booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops},

pages = {398--399},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}