Michael G. Rabbat

Michael G. Rabbat is a researcher at Facebook AI Research in Montreal, Canada, affiliated with the College of Engineering. His work spans machine learning, artificial intelligence, and distributed computing.

• Key research interests: Federated learning, reinforcement learning, self-supervised learning, and optimization algorithms.
• Recent publications focus on neural network training acceleration, physics understanding in AI, and efficient distributed systems.

His articles from 2025–2022 emphasize robust visual features (DINOv2), communication-efficient training (SlowMo), and privacy-aware federated systems. Collaborative projects include V-JEPA for video modeling and IntPhys for physics benchmarks.