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Fine-tune Locally for Federated Learning #486

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Zaahraad opened this issue Oct 2, 2024 · 1 comment
Open

Fine-tune Locally for Federated Learning #486

Zaahraad opened this issue Oct 2, 2024 · 1 comment

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@Zaahraad
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Zaahraad commented Oct 2, 2024

TimeGPT for Federated Learning

Hi, I want to use TimeGPT in federated learning, and I'd like to be able to fine-tune it locally because I need this feature for federated learning. What should I do?

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@Zaahraad Zaahraad changed the title [<Library component: Models|Core|etc...>] Fine-tune Locally Oct 2, 2024
@Zaahraad Zaahraad changed the title Fine-tune Locally Fine-tune Locally for Federated Learning Oct 2, 2024
@elephaint
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Hi, thanks for using TimeGPT!

At this moment if you want to do local fine tuning, you'd have to have a local setup of TimeGPT. We can arrange that but it requires a custom setup. Let me know if that is what you want?

However, we can also help you think about other ways of finetuning TimeGPT in a way that does allow you to finetune but without sending the private data across. What is the task you're trying to achieve?

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