SIGIR

2024

• Poisoning Decentralized Collaborative Recommender System and Its Countermeasures.

• Revisit Targeted Model Poisoning on Federated Recommendation: Optimize via Multi-objective Transport.

• ReFer: Retrieval-Enhanced Vertical Federated Recommendation for Full Set User Benefit.

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

2023

• Fine-Grained Preference-Aware Personalized Federated POI Recommendation with Data Sparsity.

• Personalized Federated Relation Classification over Heterogeneous Texts.

• Manipulating Federated Recommender Systems: Poisoning with Synthetic Users and Its Countermeasures.

• Edge-cloud Collaborative Learning with Federated and Centralized Features.

• FedAds: A Benchmark for Privacy-Preserving CVR Estimation with Vertical Federated Learning.

• FLIRT: Federated Learning for Information Retrieval.

2022

• Is Non-IID Data a Threat in Federated Online Learning to Rank?

2021

• FedCT: Federated Collaborative Transfer for Recommendation.

• FedCMR: Federated Cross-Modal Retrieval.

• On the Privacy of Federated Pipelines.

2020

• Meta Matrix Factorization for Federated Rating Predictions.