Federated learning: A signal processing perspective

T Gafni, N Shlezinger, K Cohen… - IEEE Signal …, 2022 - ieeexplore.ieee.org
The dramatic success of deep learning is largely due to the availability of data. Data
samples are often acquired on edge devices, such as smartphones, vehicles, and sensors …

A comprehensive survey on spectrum sharing techniques for 5G/B5G intelligent wireless networks: Opportunities, challenges and future research directions

A Patil, S Iyer, OLA Lopez, RJ Pandya, K Pai… - arXiv preprint arXiv …, 2022 - arxiv.org
The increasing popularity of Internet of Everything and small-cell devices has enormously
accelerated traffic loads. Consequently, increased bandwidth and high data rate …

Distributed Learning for 6G–IoT Networks: A Comprehensive Survey

SK Das, R Mudi, MS Rahman, AO Fapojuwo - Authorea Preprints, 2023 - techrxiv.org
Smart services based on the Internet of Things (IoT) are likely to grow in popularity in the
forthcoming years, necessitating the improvement of fifth-generation (5G) cellular networks …

Federated and online dynamic spectrum access for mobile secondary users

X Dong, Z You, X Liu, Y Guo, Y Shen… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Users in dynamic spectrum access (DSA) with federated reinforcement learning (FRL)
autonomously access channels, avoiding centralized coordination and protecting users' …

A comprehensive survey on spectrum sharing techniques for 5G/B5G intelligent wireless networks: Opportunities, challenges and future research directions

A Patil, S Iyer, OLA López, RJ Pandya, K Pai, A Kalla… - Computer Networks, 2024 - Elsevier
The increasing popularity of the Internet of Everything and small-cell devices has
enormously accelerated traffic loads. Consequently, increased bandwidth and high data rate …

[PDF][PDF] Design Pattern and Challenges of Federated Learning with Applications in Industrial Control System.

H Batool, J Xu, AU Rehman… - Journal of Artificial …, 2024 - cdn.techscience.cn
Federated Learning (FL) appeared as an encouraging approach for handling decentralized
data. Creating a FL system needs both machine learning (ML) knowledge and thinking …