Simons Institute Courses

Scheduling with Time-Evolving Uncertainty for Content Review Prioritization in Social Media

Discover how to optimize content moderation scheduling on social media platforms using algorithms that handle time-evolving uncertainty in post views and human review systems.

• YouTube
• 49 minutes
• Self-Paced
• Free Video

The Inadequacy of Offline LLM Evaluations - A Need to Account for Personalization in Model Behavior

Discover how personalization fundamentally changes language model behavior, revealing why standard offline evaluations fail to capture real-world AI performance in user interactions.

• YouTube
• 32 minutes
• Self-Paced
• Free Video

Federated Optimization - Part III

Dive into advanced federated optimization techniques with expert Peter Richtarik in this comprehensive tutorial from the Federated and Collaborative Learning Boot Camp.

• YouTube
• 1 hour 5 minutes
• Self-Paced
• Free Video

FedOpt for Large Language Models

Explore federated optimization techniques for training large language models in distributed environments while preserving data privacy and efficiency.

• YouTube
• 1 hour
• Self-Paced
• Free Video

Privacy in Federated and Collaborative Learning - Part I

Discover fundamental privacy concepts and techniques in federated learning environments through expert instruction from leading researchers.

• YouTube
• 1 hour 17 minutes
• Self-Paced
• Free Video

Privacy in Federated and Collaborative Learning - Part III

Explore advanced privacy techniques in federated and collaborative learning environments with expert insights from leading researchers.

• YouTube
• 1 hour 14 minutes
• Self-Paced
• Free Video

Privacy in Federated and Collaborative Learning - Part II

Dive into advanced privacy concepts in federated and collaborative learning with expert insights from leading researchers.

• YouTube
• 1 hour 14 minutes
• Self-Paced
• Free Video

Incentives for Collaborative Learning and Data Sharing - Part I

Explore incentive mechanisms that drive effective collaboration and data sharing in federated learning environments with expert insights from leading researchers.

• YouTube
• 45 minutes
• Self-Paced
• Free Video

Incentives for Collaborative Learning and Data Sharing - Part 1b

Explore incentive mechanisms for federated learning and collaborative data sharing in distributed machine learning environments.

• YouTube
• 1 hour
• Self-Paced
• Free Video

Security in Federated and Collaborative Learning

Explore security challenges and solutions in federated and collaborative learning environments with expert insights from Google's research team.

• YouTube
• 1 hour 8 minutes
• Self-Paced
• Free Video

Federated and Collaborative Learning Boot Camp

Discover federated and collaborative machine learning techniques with expert insights from Flower/ML Commons in this focused 27-minute presentation.

• YouTube
• 27 minutes
• Self-Paced
• Free Video

Federated and Collaborative Learning Boot Camp

Explore federated and collaborative learning techniques in this technical presentation by Google's Adria Gascon at the Simons Institute Boot Camp.

• YouTube
• 35 minutes
• Self-Paced
• Free Video

Federated and Collaborative Learning Boot Camp

Discover federated and collaborative learning techniques from Meta's expert in this 36-minute technical presentation covering distributed machine learning approaches.

• YouTube
• 36 minutes
• Self-Paced
• Free Video

Incentives for Collaborative Learning and Data Sharing - Part II

Explore advanced incentive mechanisms for federated learning and collaborative data sharing strategies in distributed machine learning environments.

• YouTube
• 1 hour 27 minutes
• Self-Paced
• Free Video

Federated and Collaborative Learning Boot Camp

Explore federated and collaborative learning techniques in this technical presentation by an OpenAI researcher, covering distributed machine learning approaches and privacy-preserving methods.

• YouTube
• 43 minutes
• Self-Paced
• Free Video