Allen-Jasmin Farcas

12 papers C 2Misc 1Journal 3Unranked 6
YearRankTypeTitle / Venue / Authors
2025 Misc conf
Demo Abstract: Lightweight Training and Inference for Self-Supervised Depth Estimation on Edge Devices.
SenSys
Allen-Jasmin Farcas, Radu Marculescu
2024 — conf
CHESSFL: Clustering Hierarchical Embeddings for Semi-Supervised Federated Learning.
IoTDI
Allen-Jasmin Farcas, Myungjin Lee, Ali Payani, Hugo Latapie, Ramana Rao Kompella, Radu Marculescu
2024 — conf
Demo Abstract: Online Training and Inference for On-Device Monocular Depth Estimation.
IoTDI
Allen-Jasmin Farcas, Geffen Cooper, Hyun Joon Song, Afnan Mir, Vincent Liew, Chloe Tang, Prithvi Senthilkumar, Tiani Chen-Troester, Radu Marculescu
2023 — conf
Demo Abstract: A Hardware Prototype Targeting Federated Learning with User Mobility and Device Heterogeneity.
IoTDI
Allen-Jasmin Farcas, Radu Marculescu
2023 — conf
MOHAWK: Mobility and Heterogeneity-Aware Dynamic Community Selection for Hierarchical Federated Learning.
IoTDI
Allen-Jasmin Farcas, Myungjin Lee, Ramana Rao Kompella, Hugo Latapie, Gustavo de Veciana, Radu Marculescu
2023 J jnl
Teaching Edge AI at the Undergraduate Level: A Hardware-Software Co-Design Approach.
Computer
Allen-Jasmin Farcas, Radu Marculescu
2022 J jnl
DAS: Dynamic Adaptive Scheduling for Energy-Efficient Heterogeneous SoCs.
IEEE Embed. Syst. Lett.
A. Alper Goksoy, Anish Krishnakumar, Md Sahil Hassan, Allen-Jasmin Farcas, Ali Akoglu, Radu Marculescu, Ümit Y. Ogras
2022 C conf
Enabling Software-Defined RF Convergence with a Novel Coarse-Scale Heterogeneous Processor.
ISCAS
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, Yukang Fu, A. Alper Goksoy, Xin 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
2022 — conf
Model elasticity for hardware heterogeneity in federated learning systems.
FedEdge@MobiCom
Allen-Jasmin Farcas, Xiaohan Chen, Zhangyang Wang, Radu Marculescu
2021 J jnl
DAS: Dynamic Adaptive Scheduling for Energy-Efficient Heterogeneous SoCs.
CoRR
A. Alper Goksoy, Anish Krishnakumar, Md Sahil Hassan, Allen-Jasmin Farcas, Ali Akoglu, Radu Marculescu, Ümit Y. Ogras
2020 — conf
A Hardware Prototype Targeting Distributed Deep Learning for On-device Inference.
CVPR Workshops
Allen-Jasmin Farcas, Guihong Li, Kartikeya Bhardwaj, Radu Marculescu
2019 C conf
Mobile application for receipt fraud detection based on optical character recognition.
ICMV
Sorin Liviu Jurj, Allen-Jasmin Farcas, Flavius Opritoiu, Mircea Vladutiu