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} }