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AsyncFLEO: Asynchronous Federated Learning for LEO Satellite
  Constellations with High-Altitude Platforms

AsyncFLEO: Asynchronous Federated Learning for LEO Satellite Constellations with High-Altitude Platforms

22 December 2022
Mohamed Elmahallawy
Tie-Mei Luo
    FedML
ArXivPDFHTML

Papers citing "AsyncFLEO: Asynchronous Federated Learning for LEO Satellite Constellations with High-Altitude Platforms"

14 / 14 papers shown
Title
SFL-LEO: Asynchronous Split-Federated Learning Design for LEO Satellite-Ground Network Framework
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
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
DFedSat: Communication-Efficient and Robust Decentralized Federated
  Learning for LEO Satellite Constellations
DFedSat: Communication-Efficient and Robust Decentralized Federated Learning for LEO Satellite Constellations
Minghao Yang
Jingjing Zhang
Shengyun Liu
FedML
39
2
0
08 Jul 2024
Satellite Federated Edge Learning: Architecture Design and Convergence
  Analysis
Satellite Federated Edge Learning: Architecture Design and Convergence Analysis
Yuanming Shi
Li Zeng
Jingyang Zhu
Yong Zhou
Chunxiao Jiang
Khaled B. Letaief
27
12
0
02 Apr 2024
Stitching Satellites to the Edge: Pervasive and Efficient Federated LEO
  Satellite Learning
Stitching Satellites to the Edge: Pervasive and Efficient Federated LEO Satellite Learning
Mohamed Elmahallawy
Tie-Mei Luo
30
3
0
28 Jan 2024
Communication-Efficient Federated Learning for LEO Satellite Networks
  Integrated with HAPs Using Hybrid NOMA-OFDM
Communication-Efficient Federated Learning for LEO Satellite Networks Integrated with HAPs Using Hybrid NOMA-OFDM
Mohamed Elmahallawy
Tie-Mei Luo
Khaled Ramadan
20
5
0
01 Jan 2024
Federated Learning: A Cutting-Edge Survey of the Latest Advancements and
  Applications
Federated Learning: A Cutting-Edge Survey of the Latest Advancements and Applications
Azim Akhtarshenas
Mohammad Ali Vahedifar
Navid Ayoobi
B. Maham
Tohid Alizadeh
Sina Ebrahimi
David López-Pérez
FedML
30
5
0
08 Oct 2023
Secure and Efficient Federated Learning in LEO Constellations using
  Decentralized Key Generation and On-Orbit Model Aggregation
Secure and Efficient Federated Learning in LEO Constellations using Decentralized Key Generation and On-Orbit Model Aggregation
Mohamed Elmahallawy
Tie-Mei Luo
Mohamed I. Ibrahem
FedML
16
7
0
04 Sep 2023
A Comprehensive Survey on Orbital Edge Computing: Systems, Applications,
  and Algorithms
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
One-Shot Federated Learning for LEO Constellations that Reduces Convergence Time from Days to 90 Minutes
Mohamed Elmahallawy
Tie-Mei Luo
25
9
0
21 May 2023
Edge Selection and Clustering for Federated Learning in Optical
  Inter-LEO Satellite Constellation
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
13
11
0
25 Mar 2023
Optimizing Federated Learning in LEO Satellite Constellations via
  Intra-Plane Model Propagation and Sink Satellite Scheduling
Optimizing Federated Learning in LEO Satellite Constellations via Intra-Plane Model Propagation and Sink Satellite Scheduling
Mohamed Elmahallawy
Tie-Mei Luo
FedML
13
27
0
27 Feb 2023
FedHAP: Fast Federated Learning for LEO Constellations Using
  Collaborative HAPs
FedHAP: Fast Federated Learning for LEO Constellations Using Collaborative HAPs
Mohamed Elmahallawy
Tie-Mei Luo
FedML
38
35
0
15 May 2022
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