Explores the learning dynamics of deep neural networks using linear networks for analysis, covering two-layer and multi-layer networks, self-supervised learning, and benefits of decoupled initialization.
Explores challenges in data center networks, introduces physical-layer programmability, innovative topologies, and practical implementations to enhance network reliability and performance.
Explores time and safety critical applications in switch network based embedded systems, discussing functional architecture, safety design, and network integration.
