Resilience to Malicious Activity in Distributed Optimization for Cyberphysical Systems-Reference-Cited by-同舟云学术

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Resilience to Malicious Activity in Distributed Optimization for Cyberphysical Systems

Published:2022-12-06 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE 61st Conference on Decision and Control (CDC)
language:
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Author:

Yemini Michal¹,Nedic Angelia²,Gil Stephanie³,Goldsmith Andrea J.¹

Affiliation:

1. Princeton University,Department of Electrical and Computer Engineering,Princeton,NJ,USA,08544

2. Arizona State University,School of Electrical, Computer and Energy Engineering,Tempe,AZ,USA,85281

3. Harvard University,School of Engineering and Applied Sciences,Computer Science Department,Cambridge,MA,USA,02139

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9992315/9992317/09992416.pdf?arnumber=9992416

Reference44 articles.

1. A survey of distributed optimization methods for multi-robot systems;Halsted,2021

2. Distributed Optimization-Based Control of Multi-Agent Networks in Complex Environments

3. Federated Learning: Challenges, Methods, and Future Directions

4. Distributed Subgradient Methods for Multi-Agent Optimization

5. Distributed Optimization and Statistical Learning via the Alternating Direction Method of Multipliers

Cited by 5 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. The Role of Confidence for Trust-Based Resilient Consensus;2024 American Control Conference (ACC);2024-07-10

2. Exploiting Trust for Resilient Hypothesis Testing With Malicious Robots;IEEE Transactions on Robotics;2024

3. Graph-theoretic approaches for analyzing the resilience of distributed control systems: A tutorial and survey;Automatica;2023-11

4. Exploiting Trust for Resilient Hypothesis Testing with Malicious Robots;2023 IEEE International Conference on Robotics and Automation (ICRA);2023-05-29

5. Robust Semi-Decentralized Federated Learning via Collaborative Relaying;IEEE Transactions on Wireless Communications;2023

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