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@@ -1414,7 +1414,7 @@ Federated Learning papers accepted by top AI and NLP conference and journal, inc
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Federated Learning papers accepted by top Information Retrieval conference and journal, including [SIGIR](https://dblp.org/db/conf/sigir/index.html)(Annual International ACM SIGIR Conference on Research and Development in Information Retrieval).
|ReFer: Retrieval-Enhanced Vertical Federated Recommendation for Full Set User Benefit | THU | SIGIR | 2024 | [[PUB](https://dl.acm.org/doi/10.1145/3626772.3657763)] |
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|Revisit Targeted Model Poisoning on Federated Recommendation: Optimize via Multi-objective Transport | ZJU | SIGIR | 2024 | [[PUB](https://dl.acm.org/doi/10.1145/3626772.3657764)] |
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|FeB4RAG: Evaluating Federated Search in the Context of Retrieval Augmented Generation | UQ | SIGIR | 2024 | [[PUB](https://dl.acm.org/doi/10.1145/3626772.3657853)] [PDF](https://arxiv.org/abs/2402.11891) [CODE](https://github.com/ielab/FeB4RAG) |
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|FedUD: Exploiting Unaligned Data for Cross-Platform Federated Click-Through Rate Prediction | Alibaba Group | SIGIR | 2024 | [[PUB](https://dl.acm.org/doi/10.1145/3626772.3657941)] |
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