About Hang Xu Hang Xu Ph.D. Student, Computer Science Hang Xu is a Ph.D. student in the Computer Science Program at InfoCloud Research Group under the supervision of Professor Panagiotis Kalnis at King Abdullah University of Science and Technology (KAUST). His current research interests include distributed system, machine learning algorithms and high performance computing. Events Presented Events May 26 - Jun 1, 2024 Compressed Communication in Distributed Deep Learning and Generative Language Models Hang Xu, Ph.D. Student, Computer Science May 28, 15:00 - 17:00 B2 L5 R5209 Deep Learning and generative Artificial Intelligence has grown rapidly during the past few years due to the advancement of computing powers and parallel distributed training algorithms. As a result, it has been a common practice to use hundreds or thousands of machines to train very large Deep Neural Networks.
Compressed Communication in Distributed Deep Learning and Generative Language Models Hang Xu, Ph.D. Student, Computer Science May 28, 15:00 - 17:00 B2 L5 R5209 Deep Learning and generative Artificial Intelligence has grown rapidly during the past few years due to the advancement of computing powers and parallel distributed training algorithms. As a result, it has been a common practice to use hundreds or thousands of machines to train very large Deep Neural Networks.
