codemeta.json

{
  "@context": "https://doi.org/10.5063/schema/codemeta-2.0",
  "@type": "SoftwareSourceCode",
  "name": "GROUPOID",
  "description": "Pre-alpha research prototype exploring groupoid-based aggregation for federated learning on Riemannian manifolds.",
  "codeRepository": "https://github.com/smaniches/GROUPOID",
  "programmingLanguage": "Python",
  "license": "Apache-2.0",
  "version": "0.1.0.dev4",
  "author": [
    {
      "@type": "Person",
      "@id": "https://orcid.org/0009-0005-6480-1987",
      "givenName": "Santiago",
      "familyName": "Maniches",
      "affiliation": {
        "@type": "Organization",
        "name": "TOPOLOGICA LLC"
      }
    }
  ],
  "keywords": [
    "federated-learning",
    "riemannian-geometry",
    "groupoid",
    "topology",
    "sheaf-theory",
    "cohomology",
    "topological-data-analysis"
  ]
}