FedCDR

Author:

Meihan Wu1,Li Li2,Tao Chang1,Rigall Eric3,Xiaodong Wang1,Cheng-Zhong Xu2

Affiliation:

1. National University of Defense Technology, Changsha, China

2. University of Macau, Macau, China

3. Ocean University of China, Qingdao, China

Publisher

ACM

Reference40 articles.

1. Muhammad Ammad-Ud-Din , Elena Ivannikova , Suleiman A Khan , Were Oyomno , Qiang Fu , Kuan Eeik Tan, and Adrian Flanagan . 2019 . Federated collaborative filtering for privacy-preserving personalized recommendation system. arXiv preprint arXiv:1901.09888 (2019). Muhammad Ammad-Ud-Din, Elena Ivannikova, Suleiman A Khan, Were Oyomno, Qiang Fu, Kuan Eeik Tan, and Adrian Flanagan. 2019. Federated collaborative filtering for privacy-preserving personalized recommendation system. arXiv preprint arXiv:1901.09888 (2019).

2. Manoj Ghuhan Arivazhagan , Vinay Aggarwal , Aaditya Kumar Singh, and Sunav Choudhary . 2019 . Federated learning with personalization layers. arXiv preprint arXiv:1912.00818 (2019). Manoj Ghuhan Arivazhagan, Vinay Aggarwal, Aaditya Kumar Singh, and Sunav Choudhary. 2019. Federated learning with personalization layers. arXiv preprint arXiv:1912.00818 (2019).

3. Differential Private Knowledge Transfer for Privacy-Preserving Cross-Domain Recommendation

4. Liam Collins , Hamed Hassani , Aryan Mokhtari , and Sanjay Shakkottai . 2021 . Exploiting shared representations for personalized federated learning . In International Conference on Machine Learning. PMLR , 2089--2099. Liam Collins, Hamed Hassani, Aryan Mokhtari, and Sanjay Shakkottai. 2021. Exploiting shared representations for personalized federated learning. In International Conference on Machine Learning. PMLR, 2089--2099.

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1. FedCORE: Federated Learning for Cross-Organization Recommendation Ecosystem;IEEE Transactions on Knowledge and Data Engineering;2024-08

2. A comprehensive survey of federated transfer learning: challenges, methods and applications;Frontiers of Computer Science;2024-07-23

3. DeCoCDR: Deployable Cloud-Device Collaboration for Cross-Domain Recommendation;Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval;2024-07-10

4. Privacy-preserving Cross-domain Recommendation with Federated Graph Learning;ACM Transactions on Information Systems;2024-05-13

5. Prompt-enhanced Federated Content Representation Learning for Cross-domain Recommendation;Proceedings of the ACM Web Conference 2024;2024-05-13

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