Adaptive fog-based output security for augmented reality

VR/AR Network 2018 - Proceedings of the 2018 Morning Workshop on Virtual Reality and Augmented Reality Network, Part of SIGCOMM 2018

Volumn , Issue , 2018, Pages 1-6

  Ahn, Surin ^a   Gorlatova, Maria ^a   Naghizadeh, Parinaz ^b   Chiang, Mung ^b   Mittal, Prateek ^a  

^a Princeton University   (United States)

^b Purdue University   (United States)

Author keywords

Augmented reality; Edge computing; Fog computing; Policy optimization; Reinforcement learning; Visual output security

Indexed keywords

AUGMENTED REALITY; DEEP LEARNING; EDGE COMPUTING; FOG; REINFORCEMENT LEARNING; VIRTUAL REALITY;

ADAPTIVE POLICY; EMPIRICAL EVALUATIONS; ENVIRONMENTAL CONDITIONS; POLICY OPTIMIZATION; REAL-WORLD OBJECTS; TRAINING SIMULATION; USER EXPERIENCE; VISUAL OUTPUTS;

FOG COMPUTING;

EID: 85056428916     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/3229625.3229626     Document Type: Conference Paper

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