FedDis: A Causal Disentanglement Framework for Federated Traffic Prediction.
Chengyang Zhou|Zijian Zhang|Chunxu Zhang|Hao Miao|Yulin Zhang|Kedi Lyu|Juncheng Hu
| Anthology ID: | DBLP:conf/www/ZhouZZMZLH26 |
|---|---|
| Volume: | Proceedings of the ACM Web Conference 2026, WWW 2026, Dubai, United Arab Emirates, originally scheduled for April 13-17, 2026, rescheduled for June 29 - July 3, 2026. |
| Year: | 2026 |
| Venue: | The Web Conference (WWW) |
| Publisher: | ACM |
| Pages: | 7541-7551 |
| URL: | https://doi.org/10.1145/3774904.3792663 |
| DOI: | https://doi.org/10.1145/3774904.3792663 |
| DBLP: | conf/www/ZhouZZMZLH26 |
| BibTeX: |
@inproceedings{zhou-2026-feddis,
author = {Chengyang Zhou and
Zijian Zhang and
Chunxu Zhang and
Hao Miao and
Yulin Zhang and
Kedi Lyu and
Juncheng Hu},
editor = {Hakim Hacid and
Yoelle Maarek and
Francesco Bonchi and
Ido Guy and
Emine Yilmaz},
title = {{FedDis: A Causal Disentanglement Framework for Federated Traffic Prediction}},
booktitle = {{Proceedings of the ACM Web Conference 2026, WWW 2026, Dubai, United Arab Emirates, originally scheduled for April 13-17, 2026, rescheduled for June 29 - July 3, 2026}},
pages = {7541--7551},
publisher = {ACM},
year = {2026},
url = {https://doi.org/10.1145/3774904.3792663},
doi = {https://doi.org/10.1145/3774904.3792663}
}