FedSpace: An Efficient Federated Learning Framework at Satellites and Ground Stations

2 February 2022

Salman Avestimehr

Papers citing "FedSpace: An Efficient Federated Learning Framework at Satellites and Ground Stations"

24 / 24 papers shown

Title
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
FedBiP: Heterogeneous One-Shot Federated Learning with Personalized Latent Diffusion Models Haokun Chen Hang Li Yao Zhang Gengyuan Zhang Jinhe Bi Philip Torr Philip Torr Denis Krompass Denis Krompass Volker Tresp 32 2 0 07 Oct 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 35 3 0 18 Aug 2024
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 Yuanming Shi Li Zeng Jingyang Zhu Yong Zhou Chunxiao Jiang Khaled B. Letaief 30 12 0 02 Apr 2024
Scheduling for On-Board Federated Learning with Satellite Clusters N. Razmi Bho Matthiesen Armin Dekorsy P. Popovski FedML AIFin 43 2 0 14 Feb 2024
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 Mohamed Elmahallawy Tie-Mei Luo Khaled Ramadan 20 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 26 11 0 23 Dec 2023
FedFusion: Manifold Driven Federated Learning for Multi-satellite and Multi-modality Fusion Daixun Li Weiying Xie Yunsong Li Leyuan Fang 40 18 0 16 Nov 2023
The First Verification Test of Space-Ground Collaborative Intelligence via Cloud-Native Satellites Shangguang Wang Qiyang Zhang Ruolin Xing Fei Qi Mengwei Xu 13 4 0 10 Nov 2023
CAFE: Carbon-Aware Federated Learning in Geographically Distributed Data Centers Jieming Bian Lei Wang Shaolei Ren Jie Xu FedML 26 8 0 06 Nov 2023
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 Changhao Wu Yuan-chuan Li Mengwei Xu Chongbin Guo Zengshan Yin Weiwei Gao Chuanxiu Chi 18 7 0 01 Jun 2023
FedZero: Leveraging Renewable Excess Energy in Federated Learning Philipp Wiesner R. Khalili Dennis Grinwald Pratik Agrawal L. Thamsen O. Kao 24 14 0 24 May 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 16 11 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 13 27 0 27 Feb 2023
AutoFed: Heterogeneity-Aware Federated Multimodal Learning for Robust Autonomous Driving Tianyue Zheng Ang Li Zhe Chen Hao Wang Jun Luo 32 47 0 17 Feb 2023
AsyncFLEO: Asynchronous Federated Learning for LEO Satellite Constellations with High-Altitude Platforms Mohamed Elmahallawy Tie-Mei Luo FedML 14 29 0 22 Dec 2022
Detection and Prevention Against Poisoning Attacks in Federated Learning Viktor Valadi Madeleine Englund Mark Spanier Austin F. O'Brien FedML AAML 24 0 0 24 Oct 2022
FedHAP: Fast Federated Learning for LEO Constellations Using Collaborative HAPs Mohamed Elmahallawy Tie-Mei Luo FedML 38 35 0 15 May 2022