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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

21 May 2023
Mohamed Elmahallawy
Tie-Mei Luo
ArXivPDFHTML

Papers citing "One-Shot Federated Learning for LEO Constellations that Reduces Convergence Time from Days to 90 Minutes"

4 / 4 papers shown
Title
Towards One-shot Federated Learning: Advances, Challenges, and Future Directions
Towards One-shot Federated Learning: Advances, Challenges, and Future Directions
Flora Amato
Lingyu Qiu
Mohammad Tanveer
S. Cuomo
F. Giampaolo
F. Piccialli
FedML
63
0
0
05 May 2025
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
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
FedBN: Federated Learning on Non-IID Features via Local Batch
  Normalization
FedBN: Federated Learning on Non-IID Features via Local Batch Normalization
Xiaoxiao Li
Meirui Jiang
Xiaofei Zhang
Michael Kamp
Qi Dou
OOD
FedML
168
787
0
15 Feb 2021
1