Zobrazeno 1 - 10
of 26
pro vyhledávání: '"Gao, Jiashi"'
Federated learning (FL), integrating group fairness mechanisms, allows multiple clients to collaboratively train a global model that makes unbiased decisions for different populations grouped by sensitive attributes (e.g., gender and race). Due to it
Externí odkaz:
http://arxiv.org/abs/2410.06509
Web-based AI image generation has become an innovative art form that can generate novel artworks with the rapid development of the diffusion model. However, this new technique brings potential copyright infringement risks as it may incorporate the ex
Externí odkaz:
http://arxiv.org/abs/2311.12847
Anti-Matthew FL: Bridging the Performance Gap in Federated Learning to Counteract the Matthew Effect
Federated learning (FL) stands as a paradigmatic approach that facilitates model training across heterogeneous and diverse datasets originating from various data providers. However, conventional FLs fall short of achieving consistent performance, pot
Externí odkaz:
http://arxiv.org/abs/2309.16338
Robust watermarking tries to conceal information within a cover image/video imperceptibly that is resistant to various distortions. Recently, deep learning-based approaches for image watermarking have made significant advancements in robustness and i
Externí odkaz:
http://arxiv.org/abs/2305.02781
NFTs (Non-Fungible Tokens) have experienced an explosive growth and their record-breaking prices have been witnessed. Typically, the assets that NFTs represent are stored off-chain with a pointer, e.g., multi-hop URLs, due to the costly on-chain stor
Externí odkaz:
http://arxiv.org/abs/2212.11181
Image watermarking is a technique for hiding information into images that can withstand distortions while requiring the encoded image to be perceptually identical to the original image. Recent work based on deep neural networks (DNN) has achieved imp
Externí odkaz:
http://arxiv.org/abs/2210.13801
Pedestrian trajectory forecasting is a fundamental task in multiple utility areas, such as self-driving, autonomous robots, and surveillance systems. The future trajectory forecasting is multi-modal, influenced by physical interaction with scene cont
Externí odkaz:
http://arxiv.org/abs/2202.03954
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Autor:
Hu, Qian, Shi, Xiufeng, Wang, Dan, Huang, Yongzhen, Gao, Jiashi, Guan, Haidao, Ren, Han, Lin, Xiaoya, Lu, Zhaoui, Tong, Shilu, Yang, Guiyan, Liu, Shijian
Publikováno v:
In Heliyon November 2023 9(11)
Autor:
Xu, Zhenyu, He, Bo, Jiang, Yongfang, Zhang, Min, Tian, Yi, Zhou, Ning, Zhou, Yanwen, Chen, Mengxuan, Tang, Min, Gao, Jiashi, Peng, Feng
Publikováno v:
In International Immunopharmacology September 2022 110