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SatFed: A Resource-Efficient LEO Satellite-Assisted Heterogeneous
  Federated Learning Framework

SatFed: A Resource-Efficient LEO Satellite-Assisted Heterogeneous Federated Learning Framework

20 September 2024
Yuxin Zhang
Zheng Lin
Zhe Chen
Zihan Fang
Wenjun Zhu
Xianhao Chen
Jin Zhao
Yue Gao
    FedML
ArXivPDFHTML

Papers citing "SatFed: A Resource-Efficient LEO Satellite-Assisted Heterogeneous Federated Learning Framework"

9 / 9 papers shown
Title
Rethinking Membership Inference Attacks Against Transfer Learning
Rethinking Membership Inference Attacks Against Transfer Learning
Yanwei Yue
Jing Chen
Qianru Fang
Kun He
Ziming Zhao
Hao Ren
Guowen Xu
Yang Liu
Yang Xiang
87
34
0
20 Jan 2025
IFViT: Interpretable Fixed-Length Representation for Fingerprint
  Matching via Vision Transformer
IFViT: Interpretable Fixed-Length Representation for Fingerprint Matching via Vision Transformer
Yuhang Qiu
Honghui Chen
Xingbo Dong
Zheng Lin
Iman Yi Liao
Massimo Tistarelli
Zhe Jin
47
26
0
12 Apr 2024
FedAC: An Adaptive Clustered Federated Learning Framework for
  Heterogeneous Data
FedAC: An Adaptive Clustered Federated Learning Framework for Heterogeneous Data
Yuxin Zhang
Haoyu Chen
Zheng Lin
Zhe Chen
Jin Zhao
FedML
54
21
0
25 Mar 2024
AdaptSFL: Adaptive Split Federated Learning in Resource-constrained Edge Networks
AdaptSFL: Adaptive Split Federated Learning in Resource-constrained Edge Networks
Zhengyi Lin
Guanqiao Qu
Wei Wei
Xianhao Chen
Kin K. Leung
63
50
0
19 Mar 2024
Collaborative Perception for Connected and Autonomous Driving: Challenges, Possible Solutions and Opportunities
Collaborative Perception for Connected and Autonomous Driving: Challenges, Possible Solutions and Opportunities
Senkang Hu
Zhengru Fang
Yiqin Deng
Xianhao Chen
Yuguang Fang
67
27
0
03 Jan 2024
Towards Personalized Federated Learning
Towards Personalized Federated Learning
A. Tan
Han Yu
Li-zhen Cui
Qiang Yang
FedML
AI4CE
282
855
0
01 Mar 2021
HeteroFL: Computation and Communication Efficient Federated Learning for
  Heterogeneous Clients
HeteroFL: Computation and Communication Efficient Federated Learning for Heterogeneous Clients
Enmao Diao
Jie Ding
Vahid Tarokh
FedML
83
550
0
03 Oct 2020
Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning
  Algorithms
Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms
Han Xiao
Kashif Rasul
Roland Vollgraf
127
8,807
0
25 Aug 2017
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
673
149,474
0
22 Dec 2014
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