[HTML][HTML] Cell-free massive multiple-input multiple-output challenges and opportunities: A survey
Cell-free (CF) massive multiple-input multiple-output (mMIMO) system is a state-of-the-art
emerging technology targeted towards beyond fifth-generation (B5G) and sixth-generation …
emerging technology targeted towards beyond fifth-generation (B5G) and sixth-generation …
Applications of Distributed Machine Learning for the Internet-of-Things: A Comprehensive Survey
The emergence of new services and applications in emerging wireless networks (eg,
beyond 5G and 6G) has shown a growing demand for the usage of artificial intelligence (AI) …
beyond 5G and 6G) has shown a growing demand for the usage of artificial intelligence (AI) …
Energy-efficient federated learning over cell-free IoT networks: Modeling and optimization
To leverage massive distributed data and computation resources in the Internet-of-Things
(IoT) networks, federated learning (FL) is considered to be a promising technique with …
(IoT) networks, federated learning (FL) is considered to be a promising technique with …
Applications and challenges of federated learning paradigm in the big data era with special emphasis on COVID-19
A Majeed, X Zhang, SO Hwang - Big Data and Cognitive Computing, 2022 - mdpi.com
Federated learning (FL) is one of the leading paradigms of modern times with higher privacy
guarantees than any other digital solution. Since its inception in 2016, FL has been …
guarantees than any other digital solution. Since its inception in 2016, FL has been …
Federated learning-based cell-free massive MIMO system for privacy-preserving
Cell-free massive MIMO (CF mMIMO) is a promising next generation wireless architecture to
realize federated learning (FL). However, sensitive information of user equipments (UEs) …
realize federated learning (FL). However, sensitive information of user equipments (UEs) …
Digital twin-aided learning for managing reconfigurable intelligent surface-assisted, uplink, user-centric cell-free systems
This paper puts forth a new, reconfigurable intelligent surface (RIS)-assisted, uplink, user-
centric cell-free (UCCF) system managed with the assistance of a digital twin (DT) …
centric cell-free (UCCF) system managed with the assistance of a digital twin (DT) …
An overview of simultaneous wireless information and power transfer in massive MIMO networks: A resource allocation perspective
Providing a stable and perpetual source of energy to charge battery-powered wireless
communication devices is viewed as a major challenge in wireless communication systems …
communication devices is viewed as a major challenge in wireless communication systems …
Applications of distributed machine learning for the Internet-of-Things: A comprehensive survey
The emergence of new services and applications in emerging wireless networks (eg,
beyond 5G and 6G) has shown a growing demand for the usage of artificial intelligence (AI) …
beyond 5G and 6G) has shown a growing demand for the usage of artificial intelligence (AI) …
Joint age-based client selection and resource allocation for communication-efficient federated learning over noma networks
In federated learning (FL), distributed clients can collaboratively train a shared global model
while retaining their own training data locally. Nevertheless, the performance of FL is often …
while retaining their own training data locally. Nevertheless, the performance of FL is often …
Over-the-air federated multi-task learning over MIMO multiple access channels
With the explosive growth of data and wireless devices, federated learning (FL) over
wireless medium has emerged as a promising technology for large-scale distributed …
wireless medium has emerged as a promising technology for large-scale distributed …