Allen-Jasmin Farcas

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 11

Top Topics

Learning Systems

Character Recognition

Online Training

Top Venues

IEEE Embed. Syst. Lett.

Publications

Allen-Jasmin Farcas, Geffen Cooper, Hyun Joon Song, Afnan Mir, Vincent Liew, Chloe Tang, Prithvi Senthilkumar, Tiani Chen-Troester, Radu Marculescu
Demo Abstract: Online Training and Inference for On-Device Monocular Depth Estimation. IoTDI (2024)
Allen-Jasmin Farcas, Myungjin Lee, Ali Payani, Hugo Latapie, Ramana Rao Kompella, Radu Marculescu
CHESSFL: Clustering Hierarchical Embeddings for Semi-Supervised Federated Learning. IoTDI (2024)
Allen-Jasmin Farcas, Myungjin Lee, Ramana Rao Kompella, Hugo Latapie, Gustavo de Veciana, Radu Marculescu
MOHAWK: Mobility and Heterogeneity-Aware Dynamic Community Selection for Hierarchical Federated Learning. IoTDI (2023)
Allen-Jasmin Farcas, Radu Marculescu
Demo Abstract: A Hardware Prototype Targeting Federated Learning with User Mobility and Device Heterogeneity. IoTDI (2023)
Allen-Jasmin Farcas, Radu Marculescu
Teaching Edge AI at the Undergraduate Level: A Hardware-Software Co-Design Approach. Computer 56 (11) (2023)
A. Alper Goksoy, Anish Krishnakumar, Md Sahil Hassan, Allen-Jasmin Farcas, Ali Akoglu, Radu Marculescu, Ümit Y. Ogras
DAS: Dynamic Adaptive Scheduling for Energy-Efficient Heterogeneous SoCs. IEEE Embed. Syst. Lett. 14 (1) (2022)
Allen-Jasmin Farcas, Xiaohan Chen, Zhangyang Wang, Radu Marculescu
Model elasticity for hardware heterogeneity in federated learning systems. FedEdge@MobiCom (2022)
Daniel W. Bliss, Tutu Ajayi, Ali Akoglu, I. Aliyev, Toygun Basaklar, Leul Belayneh, David T. Blaauw, John Brunhaver, Chaitali Chakrabarti, L. 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. S. 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, V. Pandey, S. Siddiqui, Yu-Hsiu Sun, Adarsh Venkataramani, X. Wei, B. R. Willis, Hanguang Yu, Yufan Yue
Enabling Software-Defined RF Convergence with a Novel Coarse-Scale Heterogeneous Processor. ISCAS (2022)
A. Alper Goksoy, Anish Krishnakumar, Md Sahil Hassan, Allen-Jasmin Farcas, Ali Akoglu, Radu Marculescu, Ümit Y. Ogras
DAS: Dynamic Adaptive Scheduling for Energy-Efficient Heterogeneous SoCs. CoRR (2021)
Allen-Jasmin Farcas, Guihong Li, Kartikeya Bhardwaj, Radu Marculescu
A Hardware Prototype Targeting Distributed Deep Learning for On-device Inference. CVPR Workshops (2020)
Sorin Liviu Jurj, Allen-Jasmin Farcas, Flavius Opritoiu, Mircea Vladutiu
Mobile application for receipt fraud detection based on optical character recognition. ICMV (2019)