Is Non-IID Data a Threat in Federated Online Learning to Rank?-Reference-Cited by-同舟云学术

Is Non-IID Data a Threat in Federated Online Learning to Rank?

Published:2022-07-06 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval
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Author:

Wang Shuyi¹,Zuccon Guido¹

Affiliation:

1. The University of Queensland, Brisbane, QLD, Australia

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3477495.3531709

Reference56 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. Simulation of Interaction

3. Report on the 1st simulation for information retrieval workshop (Sim4IR 2021) at SIGIR 2021

4. Modeling the impact of short- and long-term behavior on search personalization

5. Towards query log based personalization using topic models

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