Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Fu, Yexuan"'
Autor:
Luo, Kangyang, Wang, Shuai, Fu, Yexuan, Shao, Renrong, Li, Xiang, Lan, Yunshi, Gao, Ming, Shu, Jinlong
Federated Learning (FL) is a distributed machine learning scheme in which clients jointly participate in the collaborative training of a global model by sharing model information rather than their private datasets. In light of concerns associated wit
Externí odkaz:
http://arxiv.org/abs/2409.07734
Autor:
Yu, Yi, Yao, Shengyue, Zhou, Tianchen, Fu, Yexuan, Yu, Jingru, Wang, Ding, Wang, Xuhong, Chen, Cen, Lin, Yilun
In the digital era, data has become a pivotal asset, advancing technologies such as autonomous driving. Despite this, data trading faces challenges like the absence of robust pricing methods and the lack of trustworthy trading mechanisms. To address
Externí odkaz:
http://arxiv.org/abs/2407.00995
Federated Learning (FL) is a privacy-constrained decentralized machine learning paradigm in which clients enable collaborative training without compromising private data. However, how to learn a robust global model in the data-heterogeneous and model
Externí odkaz:
http://arxiv.org/abs/2309.13546