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Aayush711 / Federated-Learning-Project

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This repository contains a project showcasing Federated Learning using the EMNIST dataset. Federated Learning is a privacy-preserving machine learning approach that allows a model to be trained across multiple decentralized devices or servers holding local data samples, without exchanging them.

python machine-learning machine-learning-algorithms jupyter-notebook python3 privacy-protection model-training federated-learning google-colab dataprivacy model-evaluation-metrics model-training-and-evaluation
  • Updated Sep 24, 2023
  • Jupyter Notebook

mertCukadar / SecureShield-Fortifying-Your-Digital-Perimeter

Star 1

This code has been developed to address the vulnerability associated with an exposed port, which could potentially serve as an entry point for malicious attacks. For illustrative purposes, consider the scenario where port 6***1 is left open and responds to SYN scans.

cybersecurity infosec network-defense secure-coding dataprivacy digitalprotection cyberresillience threatmitigation safecoding
  • Updated Aug 10, 2023
  • C++

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