---
title: "Introduction to Federated Learning"
url: https://daily.dev/posts/introduction-to-federated-learning-gofd1th60
source_url: https://blog.dailydoseofds.com/p/introduction-to-federated-learning
type: article
source: "Daily Dose of Data Science | Avi Chawla | Substack"
published: 2024-06-26T19:40:48.442Z
updated: 2024-08-23T15:45:25.757Z
tags: ["ai", "machine-learning", "data-science", "privacy"]
reading_time: 5
upvotes: 10
comments: 0
language: en
---

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# Introduction to Federated Learning

**[Daily Dose of Data Science \| Avi Chawla \| Substack](https://daily.dev/sources/dailydoseofds)** · 5 min read · 10 upvotes · 0 comments

## Summary

Federated learning is an innovative machine learning technique that enables the training of models using private data on users' devices, without aggregating data centrally. This approach addresses privacy concerns while still allowing valuable data to be utilized. The technique distributes computations to the user's device, reducing the need for central server resources. However, it poses several challenges, such as data skewness and model aggregation. As more users value privacy, federated learning is receiving increased attention for its potential in preserving data confidentiality.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://blog.dailydoseofds.com/p/introduction-to-federated-learning>

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---

Tags: [#ai](https://daily.dev/tags/ai), [#machine-learning](https://daily.dev/tags/machine-learning), [#data-science](https://daily.dev/tags/data-science), [#privacy](https://daily.dev/tags/privacy)

[View this post on daily.dev](https://daily.dev/posts/introduction-to-federated-learning-gofd1th60)