GitHub - hantyou/Distributed-GP-Hyperpar-Optim: This is project code for the ICASSP 2023 paper P. Zhai, R.T. Rajan, Distributed Gaussian Process Hyperparameter Optimization for Multi-agent Systems, in ICASSP 2023, Jun. 2023

This is project code for the ICASSP 2023 paper

P. Zhai, R.T. Rajan, Distributed Gaussian Process Hyperparameter Optimization for Multi-agent Systems, in ICASSP 2023, Jun. 2023

The specific GHRSST dataset we use can be downloaded at [https://cmr.earthdata.nasa.gov/virtual-directory/collections/C1996881146-POCLOUD/temporal/2022/04/02]. After downloading, put the file in a subfolder named "SSTdata".

Name		Name	Last commit message	Last commit date
Latest commit History 177 Commits
.gitignore		.gitignore
ListOfUsefulFiles.txt		ListOfUsefulFiles.txt
Main.m		Main.m
README.md		README.md
SSTdataRead.m		SSTdataRead.m
agent.m		agent.m
decideSamplePoints.m		decideSamplePoints.m
distinguishable_colors.m		distinguishable_colors.m
gen2D_GP.m		gen2D_GP.m
generateLikelihoodMap.m		generateLikelihoodMap.m
generateLikelihoodMap2.m		generateLikelihoodMap2.m
generateTopology.m		generateTopology.m
getDiv.m		getDiv.m
getK.m		getK.m
getParameters.m		getParameters.m
loadDataset.m		loadDataset.m
loadRealDataset.m		loadRealDataset.m
runADMM.m		runADMM.m
runADMM_fd.m		runADMM_fd.m
runGD.m		runGD.m
runPXADMM.m		runPXADMM.m
runPXADMM_fd.m		runPXADMM_fd.m
runPXADMM_fd_tc.m		runPXADMM_fd_tc.m

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