On the Trade-Offs Between Accuracy, Privacy, and Resilience in Average Consensus Algorithms-Reference-Cited by-同舟云学术

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On the Trade-Offs Between Accuracy, Privacy, and Resilience in Average Consensus Algorithms

Published:2023-12-13 Issue: Volume:50 Page:8026-8031
ISSN:
Container-title:2023 62nd IEEE Conference on Decision and Control (CDC)
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Author:

Ramos Guilherme¹,Teixeira André M. H.²,Pequito Sérgio²

Affiliation:

1. Instituto Superior Técnico, University of Lisbon, Portugal and Instituto de Telecomunicações,Dept. of Computer Science and Engineering,Lisbon,Portugal,1049-001

2. Uppsala University,Division of Systems and Control,Department of Information Technology,Sweden

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10383192/10383193/10383286.pdf?arnumber=10383286

Reference37 articles.

1. Distributed asynchronous deterministic and stochastic gradient optimization algorithms

2. Subgradient methods and consensus algorithms for solving convex optimization problems

3. Coordination of groups of mobile autonomous agents using nearest neighbor rules

4. An Optimization-Based Cooperative Path-Following Framework for Multiple Robotic Vehicles

5. Robust Rendezvous for Mobile Autonomous Agents via Proximity Graphs in Arbitrary Dimensions

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