https://github.com/amanpriyanshu/fedpaq-mnist-implemenation

An implementation of FedPAQ using different experimental parameters. We will be looking at different variations of how, r(number of clients to be selected), t (local epochs) and s (Quantizer levels))
https://github.com/amanpriyanshu/fedpaq-mnist-implemenation

deep-learning edge-computing federated-learning machine-learning periodic-averaging quantization

Last synced: 2 months ago
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An implementation of FedPAQ using different experimental parameters. We will be looking at different variations of how, r(number of clients to be selected), t (local epochs) and s (Quantizer levels))

• Host: GitHub
• URL: https://github.com/amanpriyanshu/fedpaq-mnist-implemenation
• Owner: AmanPriyanshu
• Created: 2020-12-30T08:10:51.000Z (about 4 years ago)
• Default Branch: main
• Last Pushed: 2021-04-03T13:07:07.000Z (almost 4 years ago)
• Last Synced: 2024-05-02T02:56:29.680Z (8 months ago)
• Topics: deep-learning, edge-computing, federated-learning, machine-learning, periodic-averaging, quantization
• Language: Python
• Homepage:
• Size: 125 MB
• Stars: 21
• Watchers: 2
• Forks: 3
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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