Zobrazeno 1 - 10
of 620
pro vyhledávání: '"Liu, Yixiang"'
Future 6G networks are envisioned to support mobile augmented reality (MAR) applications and provide customized immersive experiences for users via advanced service provision. In this paper, we investigate user-centric service provision for edge-assi
Externí odkaz:
http://arxiv.org/abs/2409.00324
Autor:
Lin, Li, Liu, Yixiang, Wu, Jiewei, Cheng, Pujin, Cai, Zhiyuan, Wong, Kenneth K. Y., Tang, Xiaoying
Federated learning (FL) effectively mitigates the data silo challenge brought about by policies and privacy concerns, implicitly harnessing more data for deep model training. However, traditional centralized FL models grapple with diverse multi-cente
Externí odkaz:
http://arxiv.org/abs/2402.17502
Federated learning (FL) enables multiple sites to collaboratively train powerful deep models without compromising data privacy and security. The statistical heterogeneity (e.g., non-IID data and domain shifts) is a primary obstacle in FL, impairing t
Externí odkaz:
http://arxiv.org/abs/2304.05635
Publikováno v:
In Colloids and Surfaces B: Biointerfaces January 2025 245
Publikováno v:
In Food Chemistry 1 August 2024 448
Publikováno v:
In Science of the Total Environment 20 July 2024 935
Publikováno v:
In Food Chemistry 15 July 2024 446
Publikováno v:
In International Journal of Biological Macromolecules July 2024 273 Part 1
Publikováno v:
In Food Hydrocolloids June 2024 151
Publikováno v:
In Mechanical Systems and Signal Processing 15 May 2024 214