FedDiG: Frequency-Guided Diffusion Diversity for Generalizable Federated Time Series Classification.
Haoran Shi|Junru Zhang|Cheng Peng|Xiaoli Tang|Longtao Huang|Han Yu
| Anthology ID: | DBLP:conf/www/ShiZPTHY26 |
|---|---|
| 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: | 5298-5309 |
| URL: | https://doi.org/10.1145/3774904.3792329 |
| DOI: | https://doi.org/10.1145/3774904.3792329 |
| DBLP: | conf/www/ShiZPTHY26 |
| BibTeX: |
@inproceedings{shi-2026-feddig,
author = {Haoran Shi and
Junru Zhang and
Cheng Peng and
Xiaoli Tang and
Longtao Huang and
Han Yu},
editor = {Hakim Hacid and
Yoelle Maarek and
Francesco Bonchi and
Ido Guy and
Emine Yilmaz},
title = {{FedDiG: Frequency-Guided Diffusion Diversity for Generalizable Federated Time Series Classification}},
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 = {5298--5309},
publisher = {ACM},
year = {2026},
url = {https://doi.org/10.1145/3774904.3792329},
doi = {https://doi.org/10.1145/3774904.3792329}
}