Accelerating Distributed Online Meta-Learning via Multi-Agent Collaboration under Limited Communication-Reference-Cited by-同舟云学术

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Accelerating Distributed Online Meta-Learning via Multi-Agent Collaboration under Limited Communication

Published:2021-07-26 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the Twenty-second International Symposium on Theory, Algorithmic Foundations, and Protocol Design for Mobile Networks and Mobile Computing
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Author:

Lin Sen¹,Dedeoglu Mehmet¹,Zhang Junshan¹

Affiliation:

1. Arizona State University, Tempe, USA

Funder

NSF

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3466772.3467055

Reference36 articles.

1. Prediction, Learning, and Games

2. Optimal distributed online prediction using mini-batches;Dekel Ofer;The Journal of Machine Learning Research,2012

Cited by 3 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. Differentially Private Distributed Online Convex Optimization Towards Low Regret and Communication Cost;Proceedings of the Twenty-fourth International Symposium on Theory, Algorithmic Foundations, and Protocol Design for Mobile Networks and Mobile Computing;2023-10-16

2. Differentially Private Online Federated Learning With Personalization and Fairness;2023 IEEE International Symposium on Information Theory (ISIT);2023-06-25

3. Online Decentralized Multi-Agents Meta-Learning With Byzantine Resiliency;IEEE Access;2023

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