Federated Learning One World Seminar Courses

Federated Learning One World Seminar - Session 128

Discover federated learning insights from Uppsala University's Salman Toor in this 52-minute research seminar exploring cutting-edge distributed machine learning approaches.

• YouTube
• 52 minutes
• On-Demand
• Free Video

The First Optimal Parallel SGD - Seminar #125

Discover the first optimal parallel SGD algorithm with Peter Richtarik from KAUST in this FLOW seminar, exploring groundbreaking advancements in federated learning optimization techniques.

• YouTube
• 1 hour 43 minutes
• On-Demand
• Free Video

Compressed and Distributed Least-Squares Regression - Seminar #124

Explore compressed and distributed least-squares regression techniques with Constantin Philippenko from INRIA in this FLOW seminar, focusing on advanced mathematical approaches to federated learning challenges.

• YouTube
• 54 minutes
• On-Demand
• Free Video

The First Asynchronous SGD with Optimal Time Complexity - Seminar #126

Discover the first asynchronous SGD algorithm with optimal time complexity as Arto Maranjyan presents groundbreaking research in federated learning at the FLOW Seminar #126.

• YouTube
• 59 minutes
• On-Demand
• Free Video

The Future of Large Language Models is Federated - Seminar 120

Explore cutting-edge developments in federated learning and its transformative role in the future of Large Language Models through insights from Cambridge researcher Nic Lane.

• YouTube
• 1 hour 12 minutes
• On-Demand
• Free Video

The Future of Consumer Edge-AI Computing - Seminar 111

Explore the evolving landscape of consumer edge-AI computing with insights on emerging technologies, challenges, and future directions in mobile and distributed computing systems.

• YouTube
• 54 minutes
• On-Demand
• Free Video

On-Device Training Under 256KB Memory

Discover cutting-edge techniques for on-device machine learning training with minimal memory requirements, presented by MIT's Song Han in this technical seminar on resource-efficient AI deployment.

• YouTube
• 59 minutes
• On-Demand
• Free Video

Federated Automatic Differentiation - Seminar 96

Explore advanced concepts in federated automatic differentiation with Google researcher Zachary Charles, covering innovative approaches to distributed machine learning and privacy-preserving computation.

• YouTube
• 1 hour 7 minutes
• On-Demand
• Free Video

A Bayesian Approach for Personalized Federated Learning - Seminar 93

Discover how Bayesian approaches enhance personalized federated learning through innovative statistical methods and practical applications in distributed machine learning environments.

• YouTube
• 1 hour 4 minutes
• On-Demand
• Free Video

Leveraging Spatial and Temporal Correlations in Distributed Learning - Seminar 91

Explore advanced distributed learning techniques focusing on spatial and temporal correlations, with insights into FedAvg algorithm, client participation, and optimization strategies.

• YouTube
• 56 minutes
• On-Demand
• Free Video

Federated Learning for Medical Image Analysis - Seminar 89

Explore cutting-edge federated learning applications in medical imaging with NVIDIA expert Holger Roth, focusing on collaborative AI development while maintaining data privacy and security.

• YouTube
• 1 hour 15 minutes
• On-Demand
• Free Video

Recently Engineered Variants of Split Learning - Seminar 87

Explore advanced variants of split learning techniques in federated systems, focusing on recent engineering developments and applications in distributed machine learning architectures.

• YouTube
• 49 minutes
• On-Demand
• Free Video

Privacy-Aware Compression for Federated Data Analysis - Seminar 86

Explore privacy-aware compression techniques for federated data analysis, focusing on innovative methods to balance data privacy and efficiency in distributed learning environments.

• YouTube
• 49 minutes
• On-Demand
• Free Video

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.

• YouTube
• 57 minutes
• On-Demand
• Free Video