Allen-Jasmin Farcas

According to our database, Allen-Jasmin Farcas authored at least 8 papers between 2019 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Teaching Edge AI at the Undergraduate Level: A Hardware-Software Co-Design Approach.

Allen-Jasmin Farcas, Radu Marculescu

Computer, November, 2023

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

Allen-Jasmin Farcas, Radu Marculescu

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

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

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

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

2022

DAS: Dynamic Adaptive Scheduling for Energy-Efficient Heterogeneous SoCs.

A. Alper Goksoy, Anish Krishnakumar, Md Sahil Hassan, Allen-Jasmin Farcas, Ali Akoglu, Radu Marculescu, Ümit Y. Ogras

IEEE Embed. Syst. Lett., 2022

Enabling Software-Defined RF Convergence with a Novel Coarse-Scale Heterogeneous Processor.

Daniel W. Bliss, Tutu Ajayi, Ali Akoglu, I. Aliyev, Toygun Basaklar, Leul Belayneh, David T. Blaauw, John S. Brunhaver, Chaitali Chakrabarti, Liangliang Chang, Kuan-Yu Chen, M.-H. Chen, Xing Chen, Alex R. Chiriyath, Alhad Daftardar, Ronald G. Dreslinski, Arindam Dutta, Allen-Jasmin Farcas, Y. Fu, A. Alper Goksoy, X. He, Md Sahil Hassan, Andrew Herschfelt, Jacob Holtom, H.-S. Kim, A. N. Krishnakumar, Y. Li, Owen Ma, Joshua Mack, Saurav Mallik, Sumit K. Mandal, Radu Marculescu, B. McCall, Trevor N. Mudge, Ümit Y. Ogras, Vishrut Pandey, S. Siddiqui, Yu-Hsiu Sun, Adarsh A. Venkataramani, X. Wei, B. R. Willis, Hanguang Yu, Yufan Yue

Proceedings of the IEEE International Symposium on Circuits and Systems, 2022

Model elasticity for hardware heterogeneity in federated learning systems.

Allen-Jasmin Farcas, Xiaohan Chen, Zhangyang Wang, Radu Marculescu

Proceedings of the 1st ACM Workshop on Data Privacy and Federated Learning Technologies for Mobile Edge Network, 2022

2020

A Hardware Prototype Targeting Distributed Deep Learning for On-device Inference.

Allen-Jasmin Farcas, Guihong Li, Kartikeya Bhardwaj, Radu Marculescu

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Mobile application for receipt fraud detection based on optical character recognition.

Sorin Liviu Jurj, Allen-Jasmin Farcas, Flavius Opritoiu, Mircea Vladutiu

Proceedings of the Twelfth International Conference on Machine Vision, 2019