DT-FedSDC: A Dual-Target Federated Framework with Semantic Enhancement and Disentangled Contrastive Learning for Cross-Domain Recommendation.

@inproceedings{gao-2025-dtfedsdc, author = {Shanyang Gao and Shanfeng Wang and Lanyu Yao and Jianzhao Li and Zhao Wang and Maoguo Gong and Ke Pan}, editor = {Meeyoung Cha and Carl Yang and Senjuti Basu Roy and Chanyoung Park and Zhenhui Jessie Li and Noseong Park and Carl Yang and Senjuti Basu Roy and Zhenhui Jessie Li and Jaap Kamps and Kijung Shin and Bryan Hooi and Lifang He}, title = {{DT-FedSDC: A Dual-Target Federated Framework with Semantic Enhancement and Disentangled Contrastive Learning for Cross-Domain Recommendation}}, booktitle = {{Proceedings of the 34th ACM International Conference on Information and Knowledge Management, CIKM 2025, Seoul, Republic of Korea, November 10-14, 2025}}, pages = {686--695}, publisher = {ACM}, year = {2025}, url = {https://doi.org/10.1145/3746252.3761270}, doi = {https://doi.org/10.1145/3746252.3761270} }