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Скачать или смотреть The future of AI training is federated

  • PyData
  • 2025-10-05
  • 148
The future of AI training is federated
ConferenceFlower frameworkProgrammingPyConDEPyDataPythonTech Talkcontainerizationdata privacydifferential privacydistributed computingdistributed systemsedge computingfederated learningmachine learningmodel aggregationprivacy-preserving AIsecure computation
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Описание к видео The future of AI training is federated

🔊 Recorded at PyCon DE & PyData 2025, April 24, 2025
https://2025.pycon.de/program/9Y9DM8/

🎓 Flower framework enables privacy-preserving distributed AI training by bringing computation to data sources, revolutionizing federated learning deployment and scalability.

Speakers:
Chong Shen Ng

Description:
Dr. Chong Shen Ng presents a comprehensive tutorial on federated learning using the Flower framework. The session demonstrates how federated learning enables AI model training across distributed data sources without centralizing sensitive data. Through hands-on examples, Dr. Ng illustrates three key deployment scenarios: local simulation, remote server execution, and distributed system deployment. The tutorial covers the fundamental architecture of federated learning, including server-client interactions, model weight aggregation, and privacy preservation mechanisms. Using the Flower CLI and framework, participants learn to create and deploy federated learning applications, manage distributed training processes, and handle authentication between nodes. Dr. Ng showcases real-world implementations through live demonstrations, including deployment across Raspberry Pi devices and participant machines. The presentation addresses practical considerations such as data preprocessing, privacy budgets, and fault tolerance in distributed environments. The session concludes with discussions of advanced features including differential privacy, secure multi-party computation, and homomorphic encryption integration. Throughout the tutorial, Dr. Ng emphasizes the framework's flexibility in accommodating various machine learning tools while maintaining data privacy and regulatory compliance.

⭐️ About PyCon DE & PyData:
The PyCon DE & PyData conference unite the Python, AI, and data science communities, offering a unique platform for collaboration and innovation. The PyCon DE & PyData 2025 conference, provided an exceptional experience, fostering deeper connections within the Python community while showcasing advancements in AI and data science. Attendees enjoyed a diverse and engaging program, solidifying the event as a highlight for Python and AI enthusiasts nationwide.

Follow us:
• LinkedIn:   / 28908640  
• X: https://www.x.com/pyconde

Links:
• Conference website: http://pycon.de
• Other sessions: https://2025.pycon.de/talks/

The conference is organized by
• Python Softwareverband e.V.: http://pysv.org
• NumFOCUS Inc.: http://numfocus.org
• Pioneers Hub gemeinnützige GmbH: http://pioneershub.org


If you enjoyed this session, please like, comment, and subscribe to our channel for more insightful talks and discussions.
Share this video with your network to spread the knowledge!

Hashtags:
#Python #PyConDE #PyData #OpenSource #AI #DataScience #MachineLearning #SoftwareDevelopment #LLMs #Community

Acknowledgements:
Special thanks to all the volunteers and sponsors who made this event possible.

About:
Python Softwareverband e.V.:
PySV is a non-profit that promotes the use and development of Python in Germany through events, education, and advocacy, fostering an open Python community.

NumFOCUS Inc.
supports open-source scientific computing by providing financial and logistical support to key projects like NumPy and Jupyter, promoting sustainable development and collaboration.

Pioneers Hub gemeinnützige GmbH:
is a non-profit fostering innovation in AI and tech by connecting experts and promoting knowledge exchange through events and collaborative initiatives.
www.pydata.org

PyData is an educational program of NumFOCUS, a 501(c)3 non-profit organization in the United States. PyData provides a forum for the international community of users and developers of data analysis tools to share ideas and learn from each other. The global PyData network promotes discussion of best practices, new approaches, and emerging technologies for data management, processing, analytics, and visualization. PyData communities approach data science using many languages, including (but not limited to) Python, Julia, and R.

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