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Starts 7 June 2025 09:35
Ends 7 June 2025
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Federated Learning Seminar - #127
Explore federated learning concepts with Alexander Tyurin from Skoltech and AIRI in this FLOW seminar, covering advanced research and applications in distributed machine learning.
Federated Learning One World Seminar
via YouTube
Federated Learning One World Seminar
2544 Courses
57 minutes
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Free Video
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Overview
Explore federated learning concepts with Alexander Tyurin from Skoltech and AIRI in this FLOW seminar, covering advanced research and applications in distributed machine learning.
Syllabus
- Course Introduction
- Foundations of Federated Learning
- Architecture of Federated Learning Systems
- Privacy and Security in Federated Learning
- Advanced Research Topics
- Applications of Federated Learning
- Case Study Analysis
- Challenges and Future Directions
- Hands-On Session
- Guest Lecture by Alexander Tyurin
- Closing Discussion
- Resources and Further Reading
Overview of Federated Learning
Objectives of the Seminar
Definitions and Key Concepts
Differences from Traditional Machine Learning
Client-Server Model
Communication Protocols
Data Privacy Concerns
Techniques for Enhancing Security
Personalization and Heterogeneity
Federated Learning Optimization Algorithms
Healthcare
Finance
Internet of Things (IoT) Devices
Notable Federated Learning Projects and Outcomes
Scalability Issues
Regulatory and Ethical Considerations
Setting up a Federated Learning Experiment
Analyzing Results and Modifying Parameters
Insights from Research at Skoltech and AIRI
Q&A Session
Recap of Seminar Topics
Open Forum for Participant Questions
Recommended Books, Papers, and Online Materials
Subjects
Computer Science
