Collaboration Equilibrium in Federated Learning-Reference-Cited by-同舟云学术

Collaboration Equilibrium in Federated Learning

Published:2022-08-14 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
language:
Short-container-title:

Author:

Cui Sen¹,Liang Jian²,Pan Weishen¹,Chen Kun³,Zhang Changshui¹,Wang Fei⁴

Affiliation:

1. Tsinghua University, Beijing, UNK, China

2. Alibaba Group, Beijing, UNK, China

3. University of Connecticut, Storrs, UNK, USA

4. Weill Cornell Medicine, New York, NY, USA

Funder

the National Key Research and Development Program of China

the U.S. National Institutes of Health

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3534678.3539237

Reference44 articles.

1. Manoj Ghuhan Arivazhagan , Vinay Aggarwal , Aaditya Kumar Singh, and Sunav Choudhary . 2019 . Federated learning with personalization layers. arXiv preprint arXiv:1912.00818 (2019). Manoj Ghuhan Arivazhagan, Vinay Aggarwal, Aaditya Kumar Singh, and Sunav Choudhary. 2019. Federated learning with personalization layers. arXiv preprint arXiv:1912.00818 (2019).

2. Geometric stable roommates

3. Cooperative games with coalition structures

4. Eric Temple Bell . 1934. Exponential polynomials. Annals of Mathematics ( 1934 ), 258--277. Eric Temple Bell. 1934. Exponential polynomials. Annals of Mathematics (1934), 258--277.

5. Rich Caruana . 1997. Multitask learning. Machine learning , Vol. 28 , 1 ( 1997 ), 41--75. Rich Caruana. 1997. Multitask learning. Machine learning , Vol. 28, 1 (1997), 41--75.

Cited by 8 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. Preventing Strategic Behaviors in Collaborative Inference for Vertical Federated Learning;Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining;2024-08-24

2. Federated Continual Learning via Knowledge Fusion: A Survey;IEEE Transactions on Knowledge and Data Engineering;2024-08

3. GraphLeak: Patient Record Leakage through Gradients with Knowledge Graph;Proceedings of the ACM Web Conference 2024;2024-05-13

4. Learning across diverse biomedical data modalities and cohorts: Challenges and opportunities for innovation;Patterns;2024-02

5. Federated Learning With Potential Partnership Identification for Accurate Prediction in Flexible Manufacturing System;IEEE Transactions on Reliability;2024