[Deep Dive] Fully Distributed Online Training of GNNs in Networked Systems

In this episode, we dive into fully distributed online training of graph neural networks deployed in networked systems. This episode is based on our recent preprint by Rostyslav Olshevskyi from Rice University.

Generated using NotebookLM from Google, this podcast highlights the key findings and implications of this research.

🎧 Read the paper here: [Preprint]

📷 Cover Image Source: imagine.art, Microsoft Designer

🎵 BGM: Artlist.io

🛠️ Credits: NotebookLM by Google