Adaptive 5G-and-beyond network-enabled interpretable federated learning enhanced by neuroevolution
B Cao, J Zhao, X Liu, Y Li - Science China Information Sciences, 2024 - Springer
Mobile telemedicine systems based on the next-generation communication will significantly
enhance deep fusion of network automation and federated learning (FL), but data privacy is …
enhance deep fusion of network automation and federated learning (FL), but data privacy is …
How does Federated Learning Impact Decision-Making in Firms: A Systematic Literature Review
SK Choudhary, AK Kar, YK Dwivedi - Communications of the …, 2024 - aisel.aisnet.org
Federated Learning (FL) is a transformative, distributive computational approach that
revolutionizes decision-making capabilities through decentralized data computation …
revolutionizes decision-making capabilities through decentralized data computation …
Federation Chain for Data Privacy Protection in Industrial Internet of Things: The Perspective from 5G Core Networks
X Wang, T Li, X Xiong, Y Gao… - IEEE Internet of Things …, 2024 - ieeexplore.ieee.org
The Industrial Internet of Things (IIoT) faces serious data privacy issues, such as the risk of
data leakage during aggregation and transmission. However, existing studies rarely …
data leakage during aggregation and transmission. However, existing studies rarely …
AC-DNN: An Adaptive Compact DNNs Architecture for Collaborative Learning Among Heterogeneous Smart Devices
G Wu, F Liu, S Li, Q Song, Z Tang - IEEE Internet of Things …, 2024 - ieeexplore.ieee.org
With the rapid development of the Internet of Things (IoT), a massive number of smart
devices are deployed in industry and critical infrastructures. Nowadays, IoT smart devices …
devices are deployed in industry and critical infrastructures. Nowadays, IoT smart devices …
Robust Sparse Recovery Based Vehicles Location Estimation in Intelligent Transportation System
D Meng, X Li, W Wang - IEEE Transactions on Intelligent …, 2023 - ieeexplore.ieee.org
An architecture for vehicle position estimation is introduced in this paper to tackle the issue
of vehicles positioning in traffic congestion of intelligent transportation system (ITS). The …
of vehicles positioning in traffic congestion of intelligent transportation system (ITS). The …
Heter-Train: A Distributed Training Framework Based on Semi-Asynchronous Parallel Mechanism for Heterogeneous Intelligent Transportation Systems
J Geng, J Cao, H Jia, Z Zhu, H Fang… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
Transportation big data (TBD) are increasingly combined with artificial intelligence to mine
novel patterns and information due to the powerful representational capabilities of deep …
novel patterns and information due to the powerful representational capabilities of deep …
[PDF][PDF] How does federated learning impact decision-making in firms: A systematic literature review using TCCM
SK Choudhary, AK Kar, YK Dwivedi - core.ac.uk
Federated Learning (FL) is a transformative, distributive computational approach that
revolutionizes decision-making capabilities through decentralized data computation …
revolutionizes decision-making capabilities through decentralized data computation …
[PDF][PDF] A Data-aware Probabilistic Client Sampling Scheme in Streaming Federated Learning
C Song, J Huang, J Wu, L Lu - cis.temple.edu
In streaming federated learning, where data on each client is received in the form of a data
stream, the distribution of data on the clients has a significant impact on the performance of …
stream, the distribution of data on the clients has a significant impact on the performance of …