no code implementations • 10 Nov 2021 • Zhikun Chen, Daofeng Li, Jinkang Zhu, Sihai Zhang
Federated learning (FL) is a burgeoning distributed machine learning framework where a central parameter server (PS) coordinates many local users to train a globally consistent model.
no code implementations • 25 Jun 2021 • Mingliang Xiong, Qingwen Liu, Gang Wang, Georgios B. Giannakis, Sihai Zhang, Jinkang Zhu, Chuan Huang
Resonant beam communications (RBCom) is capable of providing wide bandwidth when using light as the carrier.
no code implementations • 21 Dec 2020 • Daofeng Li, Kaihe Deng, Ming Zhao, Sihai Zhang, Jinkang Zhu
The power of big data and machine learning has been drastically demonstrated in many fields during the past twenty years which somehow leads to the vague even false understanding that the huge amount of precious human knowledge accumulated to date no longer seems to matter.
1 code implementation • 28 Mar 2020 • Zhikun Chen, Daofeng Li, Ming Zhao, Sihai Zhang, Jinkang Zhu
Federated learning (FL) enables massive distributed Information and Communication Technology (ICT) devices to learn a global consensus model without any participants revealing their own data to the central server.