# Using the Client and Server for different predicitions

**URL:** <https://discuss.flower.ai/t/using-the-client-and-server-for-different-predicitions/1148>\
**Category:** Flower Help - Beginners\
**Created:** [December 3, 2025, 6:11pm UTC](https://discuss.flower.ai/t/using-the-client-and-server-for-different-predicitions/1148 "2025-12-03T18:11:36Z")\
**Posts on this page:** 3\
**Page:** 1

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**Author:** ![neonduck](https://avatars.discourse-cdn.com/v4/letter/n/41988e/32.png) [@neonduck](https://discuss.flower.ai/u/neonduck)\
**Post date:** [December 3, 2025, 6:11pm UTC](https://discuss.flower.ai/t/using-the-client-and-server-for-different-predicitions/1148/1 "2025-12-03T18:11:36Z")

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I’m currently developing a flower application that runs the server on a smart home gateway (RPi 5 DiyHue) and is trained on different IoT devices (Ip camera, smart home control panel, etc.). I want to know if it’s able to use the clients for prediction as well or if it’s better to send the input data from the client to the server and only predict there.

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**Author:** ![williamlm](https://dub1.discourse-cdn.com/flex013/user_avatar/discuss.flower.ai/williamlm/32/162_2.png) [@williamlm](https://discuss.flower.ai/u/williamlm)\
**Post date:** [December 30, 2025, 10:59am UTC](https://discuss.flower.ai/t/using-the-client-and-server-for-different-predicitions/1148/2 "2025-12-30T10:59:18Z")

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hi @neonduck,

Yes, clients can do prediction, and that is usually the better choice.

If an IoT device can run inference at acceptable latency, keep prediction on the client. This gives better privacy, lower latency, and less network traffic. The Flower server does not need to be involved in inference and can focus on coordinating training and model updates.

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**Author:** ![system](https://europe1.discourse-cdn.com/flex013/uploads/flower/original/1X/bc7fe36843c391cbd0b4e8b6f48275961d356abc.png) [@system](https://discuss.flower.ai/u/system)\
**Post date:** [January 14, 2026, 9:13am UTC](https://discuss.flower.ai/t/using-the-client-and-server-for-different-predicitions/1148/3 "2026-01-14T09:13:58Z")

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Closed on January 14, 2026, 9:13am UTC

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