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 ...
Abstract: Existing direct position determination algorithms using multiple asynchronous sensors utilize the properties of the noise subspace and signal subspace to construct a multiple signal ...
This repository provides a template for building full-stack web applications using FastAPI for the backend and NiceGUI for the frontend. It includes a complete setup for a PostgreSQL database, JWT ...
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