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cs.LG2024
Faster Adaptive Decentralized Learning Algorithms
Feihu Huang, Jianyu Zhao
Decentralized learning recently has received increasing attention in machine learning due to its advantages in implementation simplicity and system robustness, data privacy. Meanwh…
cs.LG2022★ 1 cited
Designing Heterogeneous GNNs with Desired Permutation Properties for Wireless Resource Allocation
Jianyu Zhao, Chenyang Yang, Tingting Liu
Graph neural networks (GNNs) have been designed for learning a variety of wireless policies, i.e., the mappings from environment parameters to decision variables, thanks to their s…
cs.LG2020
Accelerating Deep Reinforcement Learning With the Aid of Partial Model: Energy-Efficient Predictive Video Streaming
Dong Liu, Jianyu Zhao, Chenyang Yang +1
Predictive power allocation is conceived for energy-efficient video streaming over mobile networks using deep reinforcement learning. The goal is to minimize the accumulated energy…