Qiang Yang, Yang Liu, Yong Cheng, Yan Kang, Tianjian Chen, and Han Yu, "Federated Learning", Morgan & Claypool, Dec. 2019. Available:https://www.amazon.com/Federated-Learning-Synthesis-Artificial-Intelligence/dp/1681736977/ Fore-book(PDF):https://www.morganclaypoolpublishers.com/catalog_Orig/...
国外公司，越来越多的企业和组织加入了对 Federated Learning 的实践中。Google，Facebook 就不用说了，...
联邦学习（FederatedLearning）详解以及⽰例代码 联邦学习也称为协同学习，它可以在产⽣数据的设备上进⾏⼤规模的训练，并且这些敏感数据保留在数据的所有者那⾥，本地收集、本地训练。在本地训练后，中央的训练协调器通过获取分布模型的更新获得每个节点的训练贡献，但是不访问实际的敏感数据。联邦学习本⾝并不...
View PDF View chapter About the book Description Federated Learning for Digital Healthcare Systemscritically examines the key factors that contribute to the problem of applying machine learning in healthcare systems and investigates how federated learning can be employed to address the problem. The book...
A notebook of awesome privacy protection,federated learning, fairness and blockchain research materials. - WenyanLiu/apprenticeship
federated learning 广告open-source framework FATE by accelerating partial homomorphic encryption with Intel® IPP- Cryptography library "Federated learning open-source framework is designed to help users build federated model- ing solutions more efficiently and quickly, to create better- performing AI ...
Poster PDF Citation @inproceedings{zhang2023fedala, title={Fedala: Adaptive local aggregation for personalized federated learning}, author={Zhang, Jianqing and Hua, Yang and Wang, Hao and Song, Tao and Xue, Zhengui and Ma, Ruhui and Guan, Haibing}, booktitle={Proceedings of the AAAI Confer...
Lingjuan Lyu 3, Yongfeng Huang 1✉ & Xing Xie 2 Federated learning is a privacy-preserving machine learning technique to train intelligent models from decentralized data, which enables exploiting private data by communicating local model updates in each iteration of model learning rather than the ...
With Google’s Federated Learning & Facebook’s introduction of client-side NLP into their chat service, the era of client-side Machine Learning is upon us. While interesting ML approaches beyond the realm of toy examples were hitherto confined to large.
此外Federated Learning的易用性也不断提高。除了Google的tensorFlow,世界上另外一个最流行的深度学习框架Fackbook的PyTorch也在近期开始支持采用联盟学习方案来实现隐私保护。而Facebook的AI研究小组同步推出了Secure and Private AI,这是一个免费为期两个月的Udacity课程,其中专门提到在PyTorch中如何使用联盟学习。国内的微...