Internet of Things

Internet of Things (IoT) represents a paradigm shift from the traditional Internet and Cloud computing to a new reality where all “things” are connected to the Internet. Indeed, it has been estimated that the number of connected IoT-devices will reach one trillion by 2035. Such an explosive growth in IoT-devices necessitates new breakthroughs in AI research that can help efficiently deploy intelligence at the edge. Given that IoT-devices are extremely resource-constrained (e.g., small memory, low operating frequencies for energy efficiency), we focus primarily on challenges related to enabling deeplearning models at the edge.

internet of things

Selected Publications

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Avery, William; Munir, Mustafa; Marculescu, Radu

Scaling Graph Convolutions for Mobile Vision Conference Forthcoming

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, Forthcoming.

BibTeX

Li, Guihong; Bhardwaj, Kartikeya; Yang, Yuedong; Marculescu, Radu

TIPS: Topologically Important Path Sampling for Anytime Neural Networks Conference

International Conference on Machine Learning (ICML), 2023.

Links | BibTeX

Munir, Mustafa; Avery, William; Marculescu, Radu

MobileViG: Graph-Based Sparse Attention for Mobile Vision Applications Conference

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, 2023.

Links | BibTeX

Farcas, Allen-Jasmin; Marculescu, Radu

Demo Abstract: A Hardware Prototype Targeting Federated Learning with User Mobility and Device Heterogeneity Conference

International Conference on Internet-of-Things Design and Implementation (IoTDI), 2023.

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Farcas, Allen-Jasmin; Lee, Myungjin; Kompella, Ramana Rao; Latapie, Hugo; de Veciana, Gustavo; Marculescu, Radu

MOHAWK: Mobility and Heterogeneity-Aware Dynamic Community Selection for Hierarchical Federated Learning Conference

Proceedings of the 8th ACM/IEEE Conference on Internet of Things Design and Implementation, 2023.

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Yang, Yuedong; Li, Guihong; Marculescu, Radu

Efficient On-device Training via Gradient Filtering Conference

The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023.

Links | BibTeX

11 entries « 1 of 2 »