Manya Ghobadi<\/strong> and Weiyang Wang<\/strong>, MIT<\/td>A Tale of Two Networks: Finding the Right Network Infrastructure for Deep Neural Network Training<\/td><\/tr> | September 18, 2023<\/td> | Kenneth P. Birman<\/strong>, Cornell University<\/td>End-to-End Zero Copy for ML Workloads in Edge Compute Clusters<\/td><\/tr> | July 21, 2023<\/td> | Joseph Gonzalez<\/strong>, UC Berkeley<\/td>Large Language Models in the Sky<\/td><\/tr> | May 17, 2023<\/td> | Yuval Shpigelman<\/strong>, NVIDIA<\/td>NVIDIA Congestion Control Evolution<\/td><\/tr> | November 18, 2022<\/td> | Kenneth P. Birman<\/strong>, Cornell University<\/td>Cascade: A Platform for Fast, Focused Edge Intelligence<\/td><\/tr> | September 26, 2022<\/td> | Kyle Jamieson<\/strong>, Princeton University<\/td>Smart Surfaces for NextG and Satellite mmWave and Ku-Band Wireless Networks<\/td><\/tr> | September 23, 2022<\/td> | Danyang Zhuo<\/strong>, Duke University<\/td>Systematic Testing of High-Speed RDMA Networks<\/td><\/tr> | July 27, 2022<\/td> | Mosharaf Chowdhury<\/strong>, University of Michigan, Ann Arbor<\/td>Practical Federated Learning with FedScale, or How to Get Your Head Out of the Cloud<\/td><\/tr> | June 29, 2022<\/td> | Hakim Weatherspoon<\/strong>, Cornell University<\/td>Optimal Oblivious Reconfigurable Networks<\/td><\/tr> | May 25, 2022<\/td> | Ang Chen<\/strong>, Rice University<\/td>Programmable In-network Security<\/td><\/tr> | November 10, 2021<\/td> | Fadel Adib<\/strong>, Massachusetts Institute of Technology<\/td>Decoding Hidden Worlds: Wireless & Sensor Technologies for Oceans, Health, and Robotics<\/td><\/tr> | September 29, 2021<\/td> | Nick Feamster<\/strong>, University of Chicago<\/td>Mapping and Mitigating the Urban Digital Divide<\/td><\/tr> | September 1, 2021<\/td> | Alejandro Ribeiro<\/strong>, University of Pennsylvania<\/td>Learning Optimal Resource Allocations in Wireless Communication Systems<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n | | | | | | | | | | | | |