Prototype-guided Knowledge Transfer for Federated Unsupervised Cross-modal Hashing
Author:
Affiliation:
1. Shandong Normal University, Jinan, China
2. University of Technology Sydney, Sydney, Australia
3. University of Electronic Science and Technology of China, Chengdu, China
Funder
National Natural Science Foundation of China
Natural Science Foundation of Shandong, China
CCF- Baidu Open Fund
Youth Innovation Project of Shandong Universities, China
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3581783.3613837
Reference68 articles.
1. Prashant Bhat Elahe Arani and Bahram Zonooz. 2021. Distill on the go: online knowledge distillation in self-supervised learning. In CVPR. 2678--2687. Prashant Bhat Elahe Arani and Bahram Zonooz. 2021. Distill on the go: online knowledge distillation in self-supervised learning. In CVPR. 2678--2687.
2. Keith Bonawitz Vladimir Ivanov Ben Kreuter Antonio Marcedone H Brendan McMahan Sarvar Patel Daniel Ramage Aaron Segal and Karn Seth. 2017. Practical secure aggregation for privacy-preserving machine learning. In SIGSAC. 1175--1191. Keith Bonawitz Vladimir Ivanov Ben Kreuter Antonio Marcedone H Brendan McMahan Sarvar Patel Daniel Ramage Aaron Segal and Karn Seth. 2017. Practical secure aggregation for privacy-preserving machine learning. In SIGSAC. 1175--1191.
3. Ken Chatfield , Karen Simonyan , Andrea Vedaldi , and Andrew Zisserman . 2014. Return of the devil in the details: Delving deep into convolutional nets. arXiv preprint arXiv:1405.3531 ( 2014 ). Ken Chatfield, Karen Simonyan, Andrea Vedaldi, and Andrew Zisserman. 2014. Return of the devil in the details: Delving deep into convolutional nets. arXiv preprint arXiv:1405.3531 (2014).
4. Brian Chen Andrew Rouditchenko Kevin Duarte Hilde Kuehne Samuel Thomas Angie W. Boggust Rameswar Panda Brian Kingsbury Rogério Feris David Harwath James R. Glass Michael Picheny and Shih-Fu Chang. 2021. Multimodal Clustering Networks for Self-supervised Learning from Unlabeled Videos. In ICCV. 7992--8001. Brian Chen Andrew Rouditchenko Kevin Duarte Hilde Kuehne Samuel Thomas Angie W. Boggust Rameswar Panda Brian Kingsbury Rogério Feris David Harwath James R. Glass Michael Picheny and Shih-Fu Chang. 2021. Multimodal Clustering Networks for Self-supervised Learning from Unlabeled Videos. In ICCV. 7992--8001.
5. Jiayi Chen and Aidong Zhang. 2022. FedMSplit: Correlation-Adaptive Federated Multi-Task Learning across Multimodal Split Networks. In KDD. 87--96. Jiayi Chen and Aidong Zhang. 2022. FedMSplit: Correlation-Adaptive Federated Multi-Task Learning across Multimodal Split Networks. In KDD. 87--96.
Cited by 2 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. Supervised Contrastive Discrete Hashing for cross-modal retrieval;Knowledge-Based Systems;2024-07
2. LCEMH: Label Correlation Enhanced Multi-modal Hashing for efficient multi-modal retrieval;Information Sciences;2024-02
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3