Jiabin Lin, Shana Moothedath. Federated Learning for Heterogeneous Bandits with Unobserved Contexts. In IEEE International Symposium on Information Theory, ISIT 2024, Athens, Greece, July 7-12, 2024. pages 2086-2091, IEEE, 2024. [doi]
@inproceedings{LinM24-9,
title = {Federated Learning for Heterogeneous Bandits with Unobserved Contexts},
author = {Jiabin Lin and Shana Moothedath},
year = {2024},
doi = {10.1109/ISIT57864.2024.10619328},
url = {https://doi.org/10.1109/ISIT57864.2024.10619328},
researchr = {https://researchr.org/publication/LinM24-9},
cites = {0},
citedby = {0},
pages = {2086-2091},
booktitle = {IEEE International Symposium on Information Theory, ISIT 2024, Athens, Greece, July 7-12, 2024},
publisher = {IEEE},
isbn = {979-8-3503-8284-6},
}