Lectures
You can download the lectures here. I will try to upload lecture slides within a few days to a week after the day of the lecture.
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August 27, 2025
tl;dr: Introduction to Modern Distributed Computing: NextGen with AI Agents
[slides]
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October 8, 2025
tl;dr: Communication, Synchronization, Coordination, and JAX
[slides]
The October 8 lecture is a review of the October 6 lecture. Please refer to the materials provided for that date.
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October 14, 2025
tl;dr: Pre-Exam Review
The October 14 class is a review for the Midterm Exam, a review of Coding Assignment 1, a review of Written Assignment 1, and Class Project Discussions.
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October 15, 2025
tl;dr: Midterm Exam Day
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October 22, 2025
tl;dr: Distributed Multi-Agent AI at Scale
[slides]
Covering Multi-Agent AI, Parameter Servers, Ring All-Reduce, and Practical Distributed Training with JaxMARL.
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October 24, 2025
tl;dr: Distributed Multi-Agent AI at Scale
[slides]
Covering Consistency Models in Distributed Systems.
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October 27, 2025
tl;dr: Distributed Multi-Agent AI at Scale
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Covering Replication Strategies in Distributed Systems and Energy Efficiency in Distributed AI.
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October 29, 2025
tl;dr: Efficient Distributed AI Systems
[slides]
Covering Replication Strategies in Distributed Systems and Energy Efficiency in Distributed AI.
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November 3, 2025
tl;dr: Distributed Deep Learning
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Deep Q Learning, Policy Gradients, Actor-Critic, and Distributed RL Techniques.
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November 5, 2025
tl;dr: Decentralized AI Agents
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Agent Ontologies, Distributed Agent Communication, and Communication vs. Cooperation.
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November 10, 2025
tl;dr: Scalability and Reliability of Distributed Architectures
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Scalability vs. Reliability for Distributed Computing, Quantifying Reliability for Distributed Computing, and Reliability of Distributed Architectures
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November 12, 2025
tl;dr: Distributed Multimodal AI Agents
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Distributed Multimodal AI Agents, Addressing Distributed Challenges in Multimodality
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November 17, 2025
tl;dr: Embodied Learning from a Distributed Perspective
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Embodied Learning from a Distributed Perspective, Distributed Imitation Learning, Model Predictive Control, Self-Supervised Learning, Evolutionary Learning, Computational Game Theory
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November 19, 2025
tl;dr: Networks for Distributed Computing
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Networking in Distributed Systems, Multi-Agent AI for NextGen Networks
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November 24, 2025
tl;dr: Hands-on Coding for Distributed Systems
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Data distribution and coding techniques in Distributed Systems.
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November 26, 2025
tl;dr: Real-World Distributed Systems
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Real-world distributed systems, case studies, and applications.
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December 1, 2025
tl;dr: Neuromorphic Computing at a Distributed Scale
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Bottlenecks in traditional computing and how neuromorphic approaches can address them.
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December 3, 2025
tl;dr: Distributed Quantum Computing
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Overview of distributed quantum computing architectures.
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December 8, 2025
tl;dr: Interpretable Distributed AI
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Techniques and challenges in making distributed AI systems interpretable.
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December 2025
tl;dr: (Optional) NeurIPS Best Papers Exploration
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Selected NeurIPS 2025 papers relevant to distributed computing and AI agents.
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December 10, 2025
tl;dr: In-class Debugging Assignment & Final Presentations (Part I)
In-class debugging assignment and final class research project presentations.
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December 15, 2025
tl;dr: Final Presentations (Part II)
Final class research project presentations.