Ground-Assisted Federated Learning in LEO Satellite Constellations

3 September 2021

Papers citing "Ground-Assisted Federated Learning in LEO Satellite Constellations"

26 / 26 papers shown

Title
SFL-LEO: Asynchronous Split-Federated Learning Design for LEO Satellite-Ground Network Framework Jiasheng Wu Jingjing Zhang Zheng Lin Zhe Chen Xiong Wang Wenjun Zhu Yue Gao FedML 41 0 0 18 Apr 2025
Satellite Federated Fine-Tuning for Foundation Models in Space Computing Power Networks Yan zhu Jingyang Zhu Ting Wang Yuanming Shi Chunxiao Jiang Khaled B. Letaief 32 0 0 14 Apr 2025
Brain-Inspired Decentralized Satellite Learning in Space Computing Power Networks Peng Yang Ting Wang Haibin Cai Yuanming Shi Chunxiao Jiang Linling Kuang 39 0 0 28 Jan 2025
FedMeld: A Model-dispersal Federated Learning Framework for Space-ground Integrated Networks Qian Chen Xianhao Chen Kaibin Huang FedML 47 2 0 23 Dec 2024
Space for Improvement: Navigating the Design Space for Federated Learning in Satellite Constellations Grace Kim Luca Powell F. Svoboda Nicholas D. Lane FedML 26 0 0 31 Oct 2024
Towards Satellite Non-IID Imagery: A Spectral Clustering-Assisted Federated Learning Approach Luyao Zou Yu Min Park Chu Myaet Thwal Y. Tun Zhu Han Choong Seon Hong 33 0 0 17 Oct 2024
Energy-Aware Federated Learning in Satellite Constellations N. Razmi Bho Matthiesen Armin Dekorsy P. Popovski FedML 23 1 0 23 Sep 2024
Orchestrating Federated Learning in Space-Air-Ground Integrated Networks: Adaptive Data Offloading and Seamless Handover Dong-Jun Han Wenzhi Fang Seyyedali Hosseinalipour Mung Chiang Christopher G. Brinton 38 3 0 18 Aug 2024
Sparse Incremental Aggregation in Multi-Hop Federated Learning Sourav Mukherjee N. Razmi Armin Dekorsy P. Popovski Bho Matthiesen FedML 24 1 0 25 Jul 2024
DFedSat: Communication-Efficient and Robust Decentralized Federated Learning for LEO Satellite Constellations Minghao Yang Jingjing Zhang Shengyun Liu FedML 42 2 0 08 Jul 2024
Satellite Federated Edge Learning: Architecture Design and Convergence Analysis Yuanming Shi Li Zeng Jingyang Zhu Yong Zhou Chunxiao Jiang Khaled B. Letaief 33 12 0 02 Apr 2024
Scheduling for On-Board Federated Learning with Satellite Clusters N. Razmi Bho Matthiesen Armin Dekorsy P. Popovski FedML AIFin 46 2 0 14 Feb 2024
Stitching Satellites to the Edge: Pervasive and Efficient Federated LEO Satellite Learning Mohamed Elmahallawy Tie-Mei Luo 33 3 0 28 Jan 2024
Communication-Efficient Federated Learning for LEO Satellite Networks Integrated with HAPs Using Hybrid NOMA-OFDM Mohamed Elmahallawy Tie-Mei Luo Khaled Ramadan 23 5 0 01 Jan 2024
Cooperative Federated Learning over Ground-to-Satellite Integrated Networks: Joint Local Computation and Data Offloading Dong-Jun Han Seyyedali Hosseinalipour David J. Love Mung Chiang Christopher G. Brinton FedML 29 11 0 23 Dec 2023
Over-the-Air Federated Learning and Optimization Jingyang Zhu Yuanming Shi Yong Zhou Chunxiao Jiang Wei Chen Khaled B. Letaief FedML 23 11 0 16 Oct 2023
A Comprehensive Survey on Orbital Edge Computing: Systems, Applications, and Algorithms Changhao Wu Yuan-chuan Li Mengwei Xu Chongbin Guo Zengshan Yin Weiwei Gao Chuanxiu Chi 18 7 0 01 Jun 2023
One-Shot Federated Learning for LEO Constellations that Reduces Convergence Time from Days to 90 Minutes Mohamed Elmahallawy Tie-Mei Luo 28 9 0 21 May 2023
Edge Selection and Clustering for Federated Learning in Optical Inter-LEO Satellite Constellation Chih-Yu Chen Li-Hsiang Shen Kai-Ten Feng Lie-liang Yang Jen-Ming Wu 19 11 0 25 Mar 2023
Hierarchical Multi-Agent Multi-Armed Bandit for Resource Allocation in Multi-LEO Satellite Constellation Networks Li-Hsiang Shen Yun Ho Kai-Ten Feng Lie-liang Yang Sau-Hsuan Wu Jen-Ming Wu 14 4 0 25 Mar 2023
Optimizing Federated Learning in LEO Satellite Constellations via Intra-Plane Model Propagation and Sink Satellite Scheduling Mohamed Elmahallawy Tie-Mei Luo FedML 16 27 0 27 Feb 2023
AsyncFLEO: Asynchronous Federated Learning for LEO Satellite Constellations with High-Altitude Platforms Mohamed Elmahallawy Tie-Mei Luo FedML 17 29 0 22 Dec 2022
Federated Learning in Satellite Constellations Bho Matthiesen N. Razmi Israel Leyva Mayorga Armin Dekorsy P. Popovski FedML 11 43 0 01 Jun 2022
FedHAP: Fast Federated Learning for LEO Constellations Using Collaborative HAPs Mohamed Elmahallawy Tie-Mei Luo FedML 38 36 0 15 May 2022
FedSpace: An Efficient Federated Learning Framework at Satellites and Ground Stations Jinhyun So Kevin Hsieh Behnaz Arzani Shadi Noghabi Salman Avestimehr Ranveer Chandra FedML 16 60 0 02 Feb 2022
FedML: A Research Library and Benchmark for Federated Machine Learning Chaoyang He Songze Li Jinhyun So Xiao Zeng Mi Zhang ... Yang Liu Ramesh Raskar Qiang Yang M. Annavaram Salman Avestimehr FedML 168 564 0 27 Jul 2020