Privacy-Preserving Multi-Robot Task Allocation via Secure Multi-Party Computation-Reference-Cited by-同舟云学术

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Privacy-Preserving Multi-Robot Task Allocation via Secure Multi-Party Computation

Published:2022-07-12 Issue: Volume: Page:
ISSN:
Container-title:2022 European Control Conference (ECC)
language:
Short-container-title:

Author:

Alsayegh Murtadha¹,Vanegas Peter¹,Al Redwan Newaz Abdullah²,Bobadilla Leonardo¹,Shell Dylan A.³

Affiliation:

1. School ot Computing and Information Sciences, Florida International University,Miami,FL,USA,33199

2. North Carolina A&T State University,Department of Electrical and Computer Engineering,Greensboro,NC,USA

3. Texas A&M University,Department of Computer Science & Engineering at,College Station,TX,USA

Funder

NSF

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9837955/9837961/09838150.pdf?arnumber=9838150

Reference48 articles.

1. Privacy-preserving vehicle assignment for mobility-on-demand systems

2. Multiple Mobile Robot Systems

3. Long‐duration fully autonomous operation of rotorcraft unmanned aerial systems for remote‐sensing data acquisition

4. Fair Robust Assignment Using Redundancy

5. Privacy-Enhancing Fall Detection from Remote Sensor Data Using Multi-Party Computation

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3. Privacy-Preserving Multi-Agent Marine Data Collection via Differential Privacy;OCEANS 2023 - MTS/IEEE U.S. Gulf Coast;2023-09-25

4. Deep Learning Technology to Recognize American Sign Language Alphabet;Sensors;2023-09-19

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