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From Federated to Fog Learning: Distributed Machine Learning over
  Heterogeneous Wireless Networks
v1v2v3 (latest)

From Federated to Fog Learning: Distributed Machine Learning over Heterogeneous Wireless Networks

7 June 2020
Seyyedali Hosseinalipour
Christopher G. Brinton
Vaneet Aggarwal
H. Dai
M. Chiang
    FedML
ArXiv (abs)PDFHTML

Papers citing "From Federated to Fog Learning: Distributed Machine Learning over Heterogeneous Wireless Networks"

4 / 4 papers shown
Federated Learning on Non-IID Data: A Survey
Federated Learning on Non-IID Data: A Survey
Hangyu Zhu
Jinjin Xu
Shiqing Liu
Yaochu Jin
OODFedML
328
1,103
0
12 Jun 2021
On the Convergence Time of Federated Learning Over Wireless Networks
  Under Imperfect CSI
On the Convergence Time of Federated Learning Over Wireless Networks Under Imperfect CSI
Francesco Pase
M. Giordani
M. Zorzi
FedML
207
15
0
01 Apr 2021
Echo-CGC: A Communication-Efficient Byzantine-tolerant Distributed
  Machine Learning Algorithm in Single-Hop Radio Network
Echo-CGC: A Communication-Efficient Byzantine-tolerant Distributed Machine Learning Algorithm in Single-Hop Radio NetworkInternational Conference on Principles of Distributed Systems (OPODIS), 2020
Qinzi Zhang
Lewis Tseng
166
2
0
15 Nov 2020
Communication Efficient Federated Learning with Energy Awareness over
  Wireless Networks
Communication Efficient Federated Learning with Energy Awareness over Wireless NetworksIEEE Transactions on Wireless Communications (TWC), 2020
Richeng Jin
Xiaofan He
H. Dai
242
27
0
15 Apr 2020
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