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Federated Machine Learning with Python

EuroPython Conference via YouTube

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Overview

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An introduction to federated machine learning explains how models can be trained across data sources without moving the data. It compares federated learning approaches, demonstrates a minimal centralized system in Python, and discusses technical and enterprise adoption challenges.

Syllabus

Introduction
Presentation Overview
Data Privacy
PrivacyPreserving Machine Learning
Edge Device Use Cases
Enterprise Use Cases
Horizontal Federated Learning
Vertical Federated Learning
CrossDevice Federated Learning
CrossSilo Federated Learning
Centralized Federated Learning
Decentralized Federated Learning
Federated aggregation
Ingredients
Socketio
Recipe
Updates
Client
Train Model
End Session
Demo
Problems with Federated Learning

Taught by

EuroPython Conference

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