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Allen-Jasmin Farcas
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2020 – today
- 2024
- [c8]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: 122-133 - [c7]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: 221-222 - 2023
- [j2]Allen-Jasmin Farcas, Radu Marculescu:
Teaching Edge AI at the Undergraduate Level: A Hardware-Software Co-Design Approach. Computer 56(11): 30-38 (2023) - [c6]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: 249-261 - [c5]Allen-Jasmin Farcas, Radu Marculescu:
Demo Abstract: A Hardware Prototype Targeting Federated Learning with User Mobility and Device Heterogeneity. IoTDI 2023: 486-487 - 2022
- [j1]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): 51-54 (2022) - [c4]Allen-Jasmin Farcas, Xiaohan Chen, Zhangyang Wang, Radu Marculescu:
Model elasticity for hardware heterogeneity in federated learning systems. FedEdge@MobiCom 2022: 19-24 - [c3]Daniel W. Bliss, Tutu Ajayi, Ali Akoglu, Ilkin Aliyev, Toygun Basaklar, Leul Belayneh, David T. Blaauw, John S. Brunhaver, Chaitali Chakrabarti, Liangliang Chang, Kuan-Yu Chen, Ming-Hung 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, Hun-Seok Kim, A. N. Krishnakumar, Yang Li, Owen Ma, Joshua Mack, Saurav Mallik, Sumit K. Mandal, Radu Marculescu, Brittany M. McCall, Trevor N. Mudge, Ümit Y. Ogras, Vishrut Pandey, Saquib Ahmad Siddiqui, Yu-Hsiu Sun, Adarsh A. Venkataramani, Xiangdong Wei, B. R. Willis, Hanguang Yu, Yufan Yue:
Enabling Software-Defined RF Convergence with a Novel Coarse-Scale Heterogeneous Processor. ISCAS 2022: 443-447 - 2021
- [i1]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 abs/2109.11069 (2021) - 2020
- [c2]Allen-Jasmin Farcas, Guihong Li, Kartikeya Bhardwaj, Radu Marculescu:
A Hardware Prototype Targeting Distributed Deep Learning for On-device Inference. CVPR Workshops 2020: 1600-1601
2010 – 2019
- 2019
- [c1]Sorin Liviu Jurj, Allen-Jasmin Farcas, Flavius Opritoiu, Mircea Vladutiu:
Mobile application for receipt fraud detection based on optical character recognition. ICMV 2019: 114330A
Coauthor Index
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