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Fully Decentralized, Scalable Gaussian Processes for Multi-Agent
  Federated Learning

Fully Decentralized, Scalable Gaussian Processes for Multi-Agent Federated Learning

6 March 2022
George P. Kontoudis
D. Stilwell
    FedML
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Papers citing "Fully Decentralized, Scalable Gaussian Processes for Multi-Agent Federated Learning"

3 / 3 papers shown
Title
Efficiently Identifying Hotspots in a Spatially Varying Field with
  Multiple Robots
Efficiently Identifying Hotspots in a Spatially Varying Field with Multiple Robots
Varun Suryan
Pratap Tokekar
26
0
0
14 Sep 2023
Practical Privacy-Preserving Gaussian Process Regression via Secret
  Sharing
Practical Privacy-Preserving Gaussian Process Regression via Secret Sharing
Jinglong Luo
Yehong Zhang
Jiaqi Zhang
Shuang Qin
Haibo Wang
Yue Yu
Zenglin Xu
35
5
0
26 Jun 2023
Advancements in Federated Learning: Models, Methods, and Privacy
Advancements in Federated Learning: Models, Methods, and Privacy
Hui Chen
Huandong Wang
Qingyue Long
Depeng Jin
Yong Li
FedML
44
14
0
22 Feb 2023
1