Asynchronous Federated Learning with non-convex client objective functions and heterogeneous dataset
Abstract: Federated Learning is a distributed machine learning paradigm that enables model training across decentralized devices holding local data, thereby preserving data privacy and reducing the ...
├── Backend (FastAPI) │ ├── /random-character - Returns random character data │ ├── CORS middleware for frontend integration │ └── External API integration with Rick and Morty API ├── Frontend (React ...
A lightweight, extensible workflow engine built using FastAPI. This backend allows you to define graphs of processing nodes, execute them as workflows, log every step, and retrieve the results via ...
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