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Fed-BEV: A Federated Learning Framework for Modelling Energy Consumption of Battery Electric Vehicles

Fed-BEV: A Federated Learning Framework for Modelling Energy Consumption of Battery Electric Vehicles

Mingming Liu
ArXiv (abs)PDFHTML

Papers citing "Fed-BEV: A Federated Learning Framework for Modelling Energy Consumption of Battery Electric Vehicles"

3 / 3 papers shown
Title
Privacy-preserving Traffic Flow Prediction: A Federated Learning Approach
Privacy-preserving Traffic Flow Prediction: A Federated Learning Approach
Yi Liu
James Jianqiao Yu
Jiawen Kang
Dusit Niyato
Shuyu Zhang
AI4TS
68
448
0
19 Mar 2020
How To Backdoor Federated Learning
How To Backdoor Federated Learning
Eugene Bagdasaryan
Andreas Veit
Yiqing Hua
D. Estrin
Vitaly Shmatikov
SILMFedML
97
1,928
0
02 Jul 2018
Communication-Efficient Learning of Deep Networks from Decentralized Data
Communication-Efficient Learning of Deep Networks from Decentralized Data
H. B. McMahan
Eider Moore
Daniel Ramage
S. Hampson
Blaise Agüera y Arcas
FedML
406
17,593
0
17 Feb 2016

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