895 citations · 5.3k across the 104 of their papers we have counts for
15 papers · 1 filter
Hybrid Federated Learning: Algorithms and Implementation
Xinwei Zhang, Wotao Yin, Mingyi Hong +1
Federated learning (FL) is a recently proposed distributed machine learning paradigm dealing with distributed and private data sets. Based on the data partition pattern, FL is ofte…
Learning to Continuously Optimize Wireless Resource In Episodically Dynamic Environment
Haoran Sun, Wenqiang Pu, Minghe Zhu +3
There has been a growing interest in developing data-driven and in particular deep neural network (DNN) based methods for modern communication tasks. For a few popular tasks such a…
Learning to Beamform in Heterogeneous Massive MIMO Networks
Minghe Zhu, Tsung-Hui Chang, Mingyi Hong
It is well-known that the problem of finding the optimal beamformers in massive multiple-input multiple-output (MIMO) networks is challenging because of its non-convexity, and conv…
First-Order Algorithms Without Lipschitz Gradient: A Sequential Local Optimization Approach
Junyu Zhang, Mingyi Hong
First-order algorithms have been popular for solving convex and non-convex optimization problems. A key assumption for the majority of these algorithms is that the gradient of the…
Imitation Privacy
Xun Xian, Xinran Wang, Mingyi Hong +2
In recent years, there have been many cloud-based machine learning services, where well-trained models are provided to users on a pay-per-query scheme through a prediction API. The…
Joint Channel Assignment and Power Allocation for Multi-UAV Communication
Lingyun Zhou, Xihan Chen, Mingyi Hong +2
Unmanned aerial vehicle (UAV) swarm has emerged as a promising novel paradigm to achieve better coverage and higher capacity for future wireless network by exploiting the more favo…