FedUD: Exploiting Unaligned Data for Cross-Platform Federated Click-Through Rate Prediction.

@inproceedings{ouyang-2024-fedud, author = {Wentao Ouyang and Rui Dong and Ri Tao and Xiangzheng Liu}, editor = {Grace Hui Yang and Hongning Wang and Sam Han and Claudia Hauff and Guido Zuccon and Yi Zhang}, title = {{FedUD: Exploiting Unaligned Data for Cross-Platform Federated Click-Through Rate Prediction}}, booktitle = {{Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2024, Washington DC, USA, July 14-18, 2024}}, pages = {2416--2420}, publisher = {ACM}, year = {2024}, url = {https://doi.org/10.1145/3626772.3657941}, doi = {https://doi.org/10.1145/3626772.3657941} }