Federated split learning for sequential data in satellite–terrestrial integrated networks
W Jiang, H Han, Y Zhang, J Mu - Information Fusion, 2024 - Elsevier
Satellite–terrestrial integrated networks (STINs) have been proposed for B5G/6G mobile
communication, and the increase in the computation and communication capacities of …
communication, and the increase in the computation and communication capacities of …
Topologies in distributed machine learning: Comprehensive survey, recommendations and future directions
With the widespread use of distributed machine learning (DML), many IT companies have
established networks dedicated to DML. Different communication architectures of DML have …
established networks dedicated to DML. Different communication architectures of DML have …
A Survey on Random Access Protocols in Direct-Access LEO Satellite-Based IoT Communication
TTT Le, NUL Hassan, X Chen… - … Surveys & Tutorials, 2024 - ieeexplore.ieee.org
Low-Earth orbit (LEO) satellites can play an important role in providing seamless coverage
for the Internet of Things (IoT). In satellite-based IoT (SIoT) networks, IoT devices can …
for the Internet of Things (IoT). In satellite-based IoT (SIoT) networks, IoT devices can …
On-board federated learning for satellite clusters with inter-satellite links
The emergence of mega-constellations of interconnected satellites has a major impact on
the integration of cellular wireless and non-terrestrial networks, while simultaneously …
the integration of cellular wireless and non-terrestrial networks, while simultaneously …
Selected trends in artificial intelligence for space applications
The development and adoption of artificial intelligence (AI) technologies in space
applications is growing quickly as the consensus increases on the potential benefits …
applications is growing quickly as the consensus increases on the potential benefits …
Cooperative federated learning over ground-to-satellite integrated networks: Joint local computation and data offloading
While network coverage maps continue to expand, many devices located in remote areas
remain unconnected to terrestrial communication infrastructures, preventing them from …
remain unconnected to terrestrial communication infrastructures, preventing them from …
Implementation and Evaluation of a Federated Learning Framework on Raspberry PI Platforms for IoT 6G Applications
With the advent of 6G technology, the proliferation of interconnected devices necessitates a
robust, fully connected intelligence network. Federated Learning (FL) stands as a key …
robust, fully connected intelligence network. Federated Learning (FL) stands as a key …
Decomposition and Meta-DRL based Multi-Objective Optimization for Asynchronous Federated Learning in 6G-Satellite Systems
Y Zhou, L Lei, X Zhao, L You, Y Sun… - IEEE Journal on …, 2024 - ieeexplore.ieee.org
Wireless-based federated learning (FL), as an emerging distributed learning approach, has
been widely studied for 6G systems. When the paradigm shifts from terrestrial to non …
been widely studied for 6G systems. When the paradigm shifts from terrestrial to non …
Tackling the Satellite Downlink Bottleneck with Federated Onboard Learning of Image Compression
Satellite data transmission is a crucial bottleneck for Earth observation applications. To
overcome this problem we propose a novel solution that trains a neural network on board …
overcome this problem we propose a novel solution that trains a neural network on board …
Connection-density-aware satellite-ground federated learning via asynchronous dynamic aggregation
Z Xu, M Jin, J Lin, Y Liu, J Xu, Z Xiong, H Cai - Future Generation Computer …, 2024 - Elsevier
With the development of space technology, the use of satellites for Earth observation is
becoming more and more common. Among them, low-earth orbit (LEO) satellites have …
becoming more and more common. Among them, low-earth orbit (LEO) satellites have …