1.4k citations · 18.4k across the 482 of their papers we have counts for
8 papers · 2 filters
Adversarial Neural Networks for Error Correcting Codes
Hung T. Nguyen, Steven Bottone, Kwang Taik Kim +2
Error correcting codes are a fundamental component in modern day communication systems, demanding extremely high throughput, ultra-reliability and low latency. Recent approaches us…
Collaborative Learning over Wireless Networks: An Introductory Overview
Emre Ozfatura, Deniz Gunduz, H. Vincent Poor
In this chapter, we will mainly focus on collaborative training across wireless devices. Training a ML model is equivalent to solving an optimization problem, and many distributed…
Decision-making Oriented Clustering: Application to Pricing and Power Consumption Scheduling
Chao Zhang, Samson Lasaulce, Martin Hennebel +3
Data clustering is an instrumental tool in the area of energy resource management. One problem with conventional clustering is that it does not take the final use of the clustered…
Federated Learning for Industrial Internet of Things in Future Industries
Dinh C. Nguyen, Ming Ding, Pubudu N. Pathirana +4
The Industrial Internet of Things (IIoT) offers promising opportunities to transform the operation of industrial systems and becomes a key enabler for future industries. Recently,…
Federated Learning with Unreliable Clients: Performance Analysis and Mechanism Design
Chuan Ma, Jun Li, Ming Ding +3
Owing to the low communication costs and privacy-promoting capabilities, Federated Learning (FL) has become a promising tool for training effective machine learning models among di…
Distributed Learning in Wireless Networks: Recent Progress and Future Challenges
Mingzhe Chen, Deniz Gündüz, Kaibin Huang +4
The next-generation of wireless networks will enable many machine learning (ML) tools and applications to efficiently analyze various types of data collected by edge devices for in…