most citedJoint Optimization of Communications and Federated Learning Over the Air

79 citations · 121 across the 7 of their papers we have counts for

collaborators

7 papers

eess.SP2022★ 7 cited

Distributed Swarm Learning for Internet of Things at the Edge: Where Artificial Intelligence Meets Biological Intelligence

Yue Wang, Zhi Tian, Xin Fan +3

With the proliferation of versatile Internet of Things (IoT) services, smart IoT devices are increasingly deployed at the edge of wireless networks to perform collaborative machine…

eess.SP2022

CB-DSL: Communication-efficient and Byzantine-robust Distributed Swarm Learning on Non-i.i.d. Data

Xin Fan, Yue Wang, Yan Huo +1

The valuable data collected by IoT devices in edge networks together with the resurgence of ML stimulate the latest trend of edge AI. However, recent FL methods face major challeng…

cs.LG2021★ 30 cited

BEV-SGD: Best Effort Voting SGD for Analog Aggregation Based Federated Learning against Byzantine Attackers

Xin Fan, Yue Wang, Yan Huo +1

As a promising distributed learning technology, analog aggregation based federated learning over the air (FLOA) provides high communication efficiency and privacy provisioning unde…

cs.NI2021★ 2 cited

An Overview of Low latency for Wireless Communications: an Evolutionary Perspective

Xin Fan, Yan Huo

Ultra-low latency supported by the fifth generation (5G) give impetus to the prosperity of many wireless network applications, such as autonomous driving, robotics, telepresence, v…

cs.LG2021★ 79 cited

Joint Optimization of Communications and Federated Learning Over the Air

Xin Fan, Yue Wang, Yan Huo +1

Federated learning (FL) is an attractive paradigm for making use of rich distributed data while protecting data privacy. Nonetheless, nonideal communication links and limited trans…

cs.LG2021★ 3 cited

1-Bit Compressive Sensing for Efficient Federated Learning Over the Air

Xin Fan, Yue Wang, Yan Huo +1

For distributed learning among collaborative users, this paper develops and analyzes a communication-efficient scheme for federated learning (FL) over the air, which incorporates 1…

cs.IT2021

Cross-layer based intermittent jamming schemes for securing energy-constraint networks

Qinghe Gao, Yan Huo, Tao Jing +2

The Internet-of-Things (IoT) emerges as a paradigm to achieve ubiquitous connectivity via wireless communications between kinds of physical objects. Due to the wireless broadcastin…