Learning of Gaussian Processes in Distributed and Communication Limited Systems

7 May 2017

Papers citing "Learning of Gaussian Processes in Distributed and Communication Limited Systems"

7 / 7 papers shown

Title
Fully Decentralized, Scalable Gaussian Processes for Multi-Agent Federated Learning George P. Kontoudis D. Stilwell FedML 71 8 0 06 Mar 2022
Federated Gaussian Process: Convergence, Automatic Personalization and Multi-fidelity Modeling Xubo Yue Raed Al Kontar FedML 130 9 0 28 Nov 2021
Lightweight Distributed Gaussian Process Regression for Online Machine Learning Zhenyuan Yuan Minghui Zhu 50 4 0 11 May 2021
Recent Advances in Data-Driven Wireless Communication Using Gaussian Processes: A Comprehensive Survey Kai Chen Qinglei Kong Yijue Dai Yue Xu Feng Yin Lexi Xu Shuguang Cui 102 32 0 18 Mar 2021
Learning of Tree-Structured Gaussian Graphical Models on Distributed Data under Communication Constraints Mostafa Tavassolipour S. Motahari M. Manzuri-Shalmani 42 8 0 21 Sep 2018
When Gaussian Process Meets Big Data: A Review of Scalable GPs Haitao Liu Yew-Soon Ong Xiaobo Shen Jianfei Cai GP 144 697 0 03 Jul 2018
Generalized Robust Bayesian Committee Machine for Large-scale Gaussian Process Regression Haitao Liu Jianfei Cai Yi Wang Yew-Soon Ong 81 84 0 03 Jun 2018