@conference{loca,

title = {Federated Continual Learning for Monocular Depth Estimation in Dynamic Indoor Environments},

author = {Allen-Jasmin Farcas and Hyun Joon Song and Radu Marculescu},

url = {https://ieeexplore.ieee.org/document/11096257},

year  = {2025},

date = {2025-06-09},

urldate = {2025-06-09},

booktitle = {21st International Conference on Distributed Computing in Smart Systems and the Internet of Things (DCOSS-IoT 2025)},

keywords = {Continual Learning, Federated Learning, Monocular Depth Estimation},

pubstate = {published},

tppubtype = {conference}

}

@conference{liti,

title = {Demo Abstract: Lightweight Training and Inference for Self-Supervised Depth Estimation on Edge Devices},

author = {Allen-Jasmin Farcas and Radu Marculescu},

url = {https://dl.acm.org/doi/10.1145/3715014.3724373},

year  = {2025},

date = {2025-05-07},

urldate = {2025-05-07},

booktitle = {Proceedings of the 23rd ACM Conference on Embedded Networked Sensor Systems (SenSys 2025)},

keywords = {Edge AI, Efficient Inference, Federated Learning, Monocular Depth Estimation, Self-Supervised Learning},

pubstate = {published},

tppubtype = {conference}

}

@conference{nokey,

title = {Demo Abstract: Online Training and Inference for On-Device Monocular Depth Estimation},

author = {Allen-Jasmin Farcas and Geffen Cooper and Hyun Joon Song and Afnan Mir and Vincent Liew and Chloe Tang and Prithvi Senthilkumar and Tiani Chen-Troester and Radu Marculescu},

url = {https://ieeexplore.ieee.org/abstract/document/10562188},

year  = {2024},

date = {2024-05-13},

booktitle = {Proceedings of the 9th ACM/IEEE Conference on Internet of Things Design and Implementation},

keywords = {Edge AI, Efficient Inference, Monocular Depth Estimation, On-device Training},

pubstate = {published},

tppubtype = {conference}

}