4 citations · 6 across the 2 of their papers we have counts for
2 papers
cs.DC2024★ 2 cited
Enhancing Kubernetes Automated Scheduling with Deep Learning and Reinforcement Techniques for Large-Scale Cloud Computing Optimization
Zheng Xu, Yulu Gong, Yanlin Zhou +2
With the continuous expansion of the scale of cloud computing applications, artificial intelligence technologies such as Deep Learning and Reinforcement Learning have gradually bec…
cs.LG2021★ 4 cited
Server Averaging for Federated Learning
George Pu, Yanlin Zhou, Dapeng Wu +1
Federated learning allows distributed devices to collectively train a model without sharing or disclosing the local dataset with a central server. The global model is optimized by…