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pro vyhledávání: '"Lee, Youngjoon"'
Given sufficient data from multiple edge devices, federated learning (FL) enables training a shared model without transmitting private data to a central server. However, FL is generally vulnerable to Byzantine attacks from compromised edge devices, w
Externí odkaz:
http://arxiv.org/abs/2411.10212
Federated learning enables edge devices to collaboratively train a global model while maintaining data privacy by keeping data localized. However, the Non-IID nature of data distribution across devices often hinders model convergence and reduces perf
Externí odkaz:
http://arxiv.org/abs/2410.23824
Integrating hyperscale AI into national defense modeling and simulation (M&S) is crucial for enhancing strategic and operational capabilities. We explore how hyperscale AI can revolutionize defense M\&S by providing unprecedented accuracy, speed, and
Externí odkaz:
http://arxiv.org/abs/2410.00367
While being an effective framework of learning a shared model across multiple edge devices, federated learning (FL) is generally vulnerable to Byzantine attacks from adversarial edge devices. While existing works on FL mitigate such compromised devic
Externí odkaz:
http://arxiv.org/abs/2210.16519
Federated learning (FL) aims at optimizing a shared global model over multiple edge devices without transmitting (private) data to the central server. While it is theoretically well-known that FL yields an optimal model -- centrally trained model ass
Externí odkaz:
http://arxiv.org/abs/2210.16520
Publikováno v:
In Trends in Biotechnology November 2024 42(11):1453-1478
Video Moment Retrieval (VMR) is a task to localize the temporal moment in untrimmed video specified by natural language query. For VMR, several methods that require full supervision for training have been proposed. Unfortunately, acquiring a large nu
Externí odkaz:
http://arxiv.org/abs/2008.10238
Publikováno v:
In Cell Systems 15 November 2023 14(11):990-1001
Autor:
Lee, Youngjoon1 (AUTHOR) yjlee@umd.edu
Publikováno v:
Governance. Apr2023, Vol. 36 Issue 2, p651-667. 17p.
Autor:
Choi, So Young, Rhie, Mi Na, Kim, Hee Taek, Joo, Jeong Chan, Cho, In Jin, Son, Jina, Jo, Seo Young, Sohn, Yu Jung, Baritugo, Kei-Anne, Pyo, Jiwon, Lee, Youngjoon, Lee, Sang Yup, Park, Si Jae
Publikováno v:
In Metabolic Engineering March 2020 58:47-81