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PFL-LSTR: A privacy-preserving framework for driver intention inference
  based on in-vehicle and out-vehicle information

PFL-LSTR: A privacy-preserving framework for driver intention inference based on in-vehicle and out-vehicle information

2 September 2023
Runjia Du
Pei Li
Sikai Chen
Samuel Labi
ArXivPDFHTML

Papers citing "PFL-LSTR: A privacy-preserving framework for driver intention inference based on in-vehicle and out-vehicle information"

1 / 1 papers shown
Title
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
505
11,727
0
09 Mar 2017
1