𝗙𝗲𝗱𝗲𝗿𝗮𝘁𝗲𝗱 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝗶𝗻 𝗦𝗺𝗮𝗿𝘁 𝗖𝗶𝘁𝗶𝗲𝘀

𝗙𝗲𝗱𝗲𝗿𝗮𝘁𝗲𝗱 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝗶𝗻 𝗦𝗺𝗮𝗿𝘁 𝗖𝗶𝘁𝗶𝗲𝘀

Smart cities need AI. Privacy is a problem. Federated Learning solves this.

You train models on local devices. You send updates to a central server. Your data stays on your device.

This helps with:

• Traffic flow
• Energy grids
• Health care

Some problems remain:

• Data quality differs.
• Network speeds vary.
• Security needs work.

Source: https://dev.to/paperium/applications-of-federated-learning-in-smart-cities-recent-advances-taxonomyand-open-challenges-33o0

Optional learning community: https://t.me/GyaanSetuAi