Security of federated learning in 6G era: A review on conceptual techniques and software platforms used for research and analysis
Federated Learning (FL) is an emerging Artificial Intelligence (AI) paradigm enabling
multiple parties to train a model collaboratively without sharing their data. With the upcoming …
multiple parties to train a model collaboratively without sharing their data. With the upcoming …
Towards zero touch networks: From the perspective of hierarchical language systems
G Lin, J Ge, Y Wu - IEEE Network, 2022 - ieeexplore.ieee.org
With ever-increasing complexity and dynamicity of communication networks, intelligent
network operation and maintenance has become more important to network operators. With …
network operation and maintenance has become more important to network operators. With …
A comprehensive survey on orbital edge computing: Systems, applications, and algorithms
The number of satellites, especially those operating in low-earth orbit (LEO), is exploding in
recent years. Additionally, the use of COTS hardware into those satellites enables a new …
recent years. Additionally, the use of COTS hardware into those satellites enables a new …
Security in Federated Learning Enabled 6g Era: A Review on Conceptual Techniques and Software Platforms Used for Research and Analysis
Federated Learning (FL) is an emerging Artificial Intelligence (AI) paradigm that enables
multiple parties to collaboratively train a model without sharing their data. With the upcoming …
multiple parties to collaboratively train a model without sharing their data. With the upcoming …
Tensor-enabled communication-efficient and trustworthy federated learning for heterogeneous intelligent space–air–ground-integrated IoT
Federated learning (FL) could provide a promising privacy-preserving intelligent learning
paradigm for space–air–ground-integrated Internet of Things (SAGI-IoT) by breaking down …
paradigm for space–air–ground-integrated Internet of Things (SAGI-IoT) by breaking down …
Reliable federated learning based on dual-reputation reverse auction mechanism in Internet of Things
Y Tang, Y Liang, Y Liu, J Zhang, L Ni, L Qi - Future Generation Computer …, 2024 - Elsevier
Federated learning, a promising distributed machine learning paradigm, has been used in
various Internet of Things (IoT) environments to solve isolated data island issues and protect …
various Internet of Things (IoT) environments to solve isolated data island issues and protect …
Communication-Efficient Satellite-Ground Federated Learning through Progressive Weight Quantization
C Yang, J Yuan, Y Wu, Q Sun, A Zhou… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
Large constellations of Low Earth Orbit (LEO) satellites have been launched for Earth
observation and satellite-ground communication, which collect massive imagery and sensor …
observation and satellite-ground communication, which collect massive imagery and sensor …
Resource Allocation for Space-Air-Ground Integrated Networks: A Comprehensive Review
H Liang, Z Yang, G Zhang, H Hou - Journal of Communications …, 2024 - ieeexplore.ieee.org
The space-air-ground integrated networks (SAGIN) has emerged as a critical paradigm to
address the growing demands for global connectivity and enhanced communication …
address the growing demands for global connectivity and enhanced communication …
On the Interplay of Artificial Intelligence and Space-Air-Ground Integrated Networks: A Survey
Space-Air-Ground Integrated Networks (SAGINs), which incorporate space and aerial
networks with terrestrial wireless systems, are vital enablers of the emerging sixth …
networks with terrestrial wireless systems, are vital enablers of the emerging sixth …
Hybrid Routing in FSO/RF Space-Air-Ground Integrated Network
Space-air-ground integrated network (SAGIN) is a promising network architecture for next-
generation wireless networks, which combines satellite networks, aerial networks, and …
generation wireless networks, which combines satellite networks, aerial networks, and …