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Pythonic AI | United States America (US)
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Federated Learning
چیست؟

A machine learning procedure where the goal is to train a high-quality model with data distributed over several independent providers.

به این شکل که بجای جابجا کردن دیتا بین سرورها و تجمیع آنها، مدل ها و الگوریتمها دست به دست میشوند.

اهمیت federated learning در کیس های زیر مشخص میشود:
- حفظ حریم شخصی کاربران اهمیت زیادی دارد
- جابجایی دیتا از یک سرور به سرور دیگر ممکن است هزینه زیادی به بار آورد
- محافظت از دیتا (data protection) اهمیت بالایی دارد

#artificialintelligence #machinelearning

@pythonicAi

Pythonic AI
Federated Learning
چیست؟

A machine learning procedure where the goal is to train a high-quality model with data distributed over several independent providers.

به این شکل که بجای جابجا کردن دیتا بین سرورها و تجمیع آنها، مدل ها و الگوریتمها دست به دست میشوند.

اهمیت federated learning در کیس های زیر مشخص میشود:
- حفظ حریم شخصی کاربران اهمیت زیادی دارد
- جابجایی دیتا از یک سرور به سرور دیگر ممکن است هزینه زیادی به بار آورد
- محافظت از دیتا (data protection) اهمیت بالایی دارد

#artificialintelligence #machinelearning

@pythonicAi
hottg.com/pythonicAI/1144
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Federated Learning

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