A Scenario-Oriented Survey of Federated Recommender Systems: Techniques, Challenges, and Future Directions | Paper Citation Record

Observation aa299fae-4dda-46a7-b711-bb262f406ce7 · outbound

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A Scenario-Oriented Survey of Federated Recommender Systems: Techniques, Challenges, and Future Directions Improved diversity-promoting collaborative metric learning for recommendation,

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This paper cites Multimedia recommendation: technology and techniques,.

A Scenario-Oriented Survey of Federated Recommender Systems: Techniques, Challenges, and Future Directions Multimedia recommendation: technology and techniques,

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This paper cites A survey on federated recommendation systems,.

A Scenario-Oriented Survey of Federated Recommender Systems: Techniques, Challenges, and Future Directions A survey on federated recommendation systems,

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This paper cites Hetefedrec: Federated recommender systems with model heterogeneity,.

A Scenario-Oriented Survey of Federated Recommender Systems: Techniques, Challenges, and Future Directions Hetefedrec: Federated recommender systems with model heterogeneity,

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This paper cites No prejudice! fair federated graph neural networks for personalized recommendation,.

A Scenario-Oriented Survey of Federated Recommender Systems: Techniques, Challenges, and Future Directions No prejudice! fair federated graph neural networks for personalized recommendation,

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This paper cites Refrs: Resource-efficient federated recommender system for dynamic and diversified user preferences,.

A Scenario-Oriented Survey of Federated Recommender Systems: Techniques, Challenges, and Future Directions Refrs: Resource-efficient federated recommender system for dynamic and diversified user preferences,

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This paper cites Meta matrix factorization for federated rating predictions,.

A Scenario-Oriented Survey of Federated Recommender Systems: Techniques, Challenges, and Future Directions Meta matrix factorization for federated rating predictions,

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This paper cites When federated recommendation meets cold-start problem: Separating item attributes and user interactions,.

A Scenario-Oriented Survey of Federated Recommender Systems: Techniques, Challenges, and Future Directions When federated recommendation meets cold-start problem: Separating item attributes and user interactions,

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Observation 064bb1e4-46b7-48f4-a635-41b7c269a7cd · outbound

This paper cites Federated recommendation with additive personalization,.

A Scenario-Oriented Survey of Federated Recommender Systems: Techniques, Challenges, and Future Directions Federated recommendation with additive personalization,

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This paper cites Dual personalization on federated recommendation,.

A Scenario-Oriented Survey of Federated Recommender Systems: Techniques, Challenges, and Future Directions Dual personalization on federated recommendation,

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This paper cites Gpfedrec: Graph-guided personalization for federated recommendation,.

A Scenario-Oriented Survey of Federated Recommender Systems: Techniques, Challenges, and Future Directions Gpfedrec: Graph-guided personalization for federated recommendation,

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This paper cites Federated Collaborative Filtering for Privacy-Preserving Personalized Recommendation System.

A Scenario-Oriented Survey of Federated Recommender Systems: Techniques, Challenges, and Future Directions Federated Collaborative Filtering for Privacy-Preserving Personalized Recommendation System

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This paper cites Secure federated matrix factorization,.

A Scenario-Oriented Survey of Federated Recommender Systems: Techniques, Challenges, and Future Directions Secure federated matrix factorization,

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This paper cites Semi-decentralized federated ego graph learning for recommendation,.

A Scenario-Oriented Survey of Federated Recommender Systems: Techniques, Challenges, and Future Directions Semi-decentralized federated ego graph learning for recommendation,

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This paper cites A federated graph neural network framework for privacy-preserving personalization,.

A Scenario-Oriented Survey of Federated Recommender Systems: Techniques, Challenges, and Future Directions A federated graph neural network framework for privacy-preserving personalization,

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This paper cites Fedrec: Federated recommen- dation with explicit feedback,.

A Scenario-Oriented Survey of Federated Recommender Systems: Techniques, Challenges, and Future Directions Fedrec: Federated recommen- dation with explicit feedback,

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This paper cites Fedrec++: Lossless federated recom- mendation with explicit feedback,.

A Scenario-Oriented Survey of Federated Recommender Systems: Techniques, Challenges, and Future Directions Fedrec++: Lossless federated recom- mendation with explicit feedback,

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This paper cites Stronger privacy for federated collaborative filtering with implicit feedback,.

A Scenario-Oriented Survey of Federated Recommender Systems: Techniques, Challenges, and Future Directions Stronger privacy for federated collaborative filtering with implicit feedback,

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Observation 9e2612c8-4dc9-474d-afe5-2b846f0dedfb · outbound

This paper cites Fr-fmss: Federated recommendation via fake marks and secret sharing,.

A Scenario-Oriented Survey of Federated Recommender Systems: Techniques, Challenges, and Future Directions Fr-fmss: Federated recommendation via fake marks and secret sharing,

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A Scenario-Oriented Survey of Federated Recommender Systems: Techniques, Challenges, and Future Directions Federated neural collaborative filtering,

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This paper cites Hfsa: A semi-asynchronous hierarchical federated recommendation system in smart city,.

A Scenario-Oriented Survey of Federated Recommender Systems: Techniques, Challenges, and Future Directions Hfsa: A semi-asynchronous hierarchical federated recommendation system in smart city,

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This paper cites Marking the pace: A blockchain-enhanced privacy-traceable strategy for federated recom- mender systems,.

A Scenario-Oriented Survey of Federated Recommender Systems: Techniques, Challenges, and Future Directions Marking the pace: A blockchain-enhanced privacy-traceable strategy for federated recom- mender systems,

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This paper cites Hn3s: A federated autoencoder framework for collaborative filtering via hybrid negative sampling and secret sharing,.

A Scenario-Oriented Survey of Federated Recommender Systems: Techniques, Challenges, and Future Directions Hn3s: A federated autoencoder framework for collaborative filtering via hybrid negative sampling and secret sharing,

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A Scenario-Oriented Survey of Federated Recommender Systems: Techniques, Challenges, and Future Directions Federated unlearning for on-device recommendation,

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A Scenario-Oriented Survey of Federated Recommender Systems: Techniques, Challenges, and Future Directions Efficient federated item similarity model for privacy-preserving recommendation,

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A Scenario-Oriented Survey of Federated Recommender Systems: Techniques, Challenges, and Future Directions Fast-adapting and privacy-preserving federated recommender system,

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A Scenario-Oriented Survey of Federated Recommender Systems: Techniques, Challenges, and Future Directions Privacy-preserving sequential recommendation with collaborative confusion,

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A Scenario-Oriented Survey of Federated Recommender Systems: Techniques, Challenges, and Future Directions Certified unlearning for federated recommendation,

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A Scenario-Oriented Survey of Federated Recommender Systems: Techniques, Challenges, and Future Directions Federated recommender system based on diffusion augmentation and guided denoising,

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A Scenario-Oriented Survey of Federated Recommender Systems: Techniques, Challenges, and Future Directions Ownership verification for federated recommendation,

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A Scenario-Oriented Survey of Federated Recommender Systems: Techniques, Challenges, and Future Directions Fedfast: Going beyond average for faster training of federated recommender systems,

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A Scenario-Oriented Survey of Federated Recommender Systems: Techniques, Challenges, and Future Directions Privacy-preserving news recommendation model learning,

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A Scenario-Oriented Survey of Federated Recommender Systems: Techniques, Challenges, and Future Directions Personalized federated recommendation via joint representation learning, user clustering, and model adaptation,

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A Scenario-Oriented Survey of Federated Recommender Systems: Techniques, Challenges, and Future Directions A payload optimization method for federated recommender systems,

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A Scenario-Oriented Survey of Federated Recommender Systems: Techniques, Challenges, and Future Directions Towards efficient communication and secure federated recommendation system via low-rank training,

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A Scenario-Oriented Survey of Federated Recommender Systems: Techniques, Challenges, and Future Directions Lightfr: Lightweight fed- erated recommendation with privacy-preserving matrix factorization,

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A Scenario-Oriented Survey of Federated Recommender Systems: Techniques, Challenges, and Future Directions Discrete federated multi- behavior recommendation for privacy-preserving heterogeneous one- class collaborative filtering,

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A Scenario-Oriented Survey of Federated Recommender Systems: Techniques, Challenges, and Future Directions Efficient-fedrec: Efficient federated learning framework for privacy-preserving news recommendation,

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A Scenario-Oriented Survey of Federated Recommender Systems: Techniques, Challenges, and Future Directions Hide your model: A parameter transmission-free federated recommender system,

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This paper cites Personalized federated recommendation for cold-start users via adap- tive knowledge fusion,.

A Scenario-Oriented Survey of Federated Recommender Systems: Techniques, Challenges, and Future Directions Personalized federated recommendation for cold-start users via adap- tive knowledge fusion,

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A Scenario-Oriented Survey of Federated Recommender Systems: Techniques, Challenges, and Future Directions Privacy- preserving graph convolution network for federated item recommenda- tion,

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This paper cites Towards personalized privacy: User-governed data contribution for federated recommendation,.

A Scenario-Oriented Survey of Federated Recommender Systems: Techniques, Challenges, and Future Directions Towards personalized privacy: User-governed data contribution for federated recommendation,

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A Scenario-Oriented Survey of Federated Recommender Systems: Techniques, Challenges, and Future Directions Defedgcn: Privacy-preserving decentralized federated gcn for recommender sys- tem,

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This paper cites Poisoning deep learning based recom- mender model in federated learning scenarios,.

A Scenario-Oriented Survey of Federated Recommender Systems: Techniques, Challenges, and Future Directions Poisoning deep learning based recom- mender model in federated learning scenarios,

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Observation 997261e5-ac66-4e48-b263-cdb308ad46c6 · outbound

This paper cites Fedattack: Effective and covert poisoning attack on federated recommendation via hard sampling,.

A Scenario-Oriented Survey of Federated Recommender Systems: Techniques, Challenges, and Future Directions Fedattack: Effective and covert poisoning attack on federated recommendation via hard sampling,

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Observation c95f728b-90ac-4d7f-b159-55349793e569 · outbound

This paper cites Pipattack: Poisoning federated recommender systems for manipulating item promotion,.

A Scenario-Oriented Survey of Federated Recommender Systems: Techniques, Challenges, and Future Directions Pipattack: Poisoning federated recommender systems for manipulating item promotion,

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Observation 4ce9afb1-7649-42fb-9a21-7ebb740dec2e · outbound

This paper cites Ua-fedrec: untargeted attack on federated news recommendation,.

A Scenario-Oriented Survey of Federated Recommender Systems: Techniques, Challenges, and Future Directions Ua-fedrec: untargeted attack on federated news recommendation,

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Observation 48963c63-2dd5-4c30-9570-a56fe1a99532 · outbound

This paper cites Untargeted attack against federated recommendation systems via poisonous item embeddings and the defense,.

A Scenario-Oriented Survey of Federated Recommender Systems: Techniques, Challenges, and Future Directions Untargeted attack against federated recommendation systems via poisonous item embeddings and the defense,

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Observation aa63bf40-5c36-4c5e-bfe4-df7692293b0a · outbound

This paper cites Interaction-level membership inference attack against federated rec- ommender systems,.

A Scenario-Oriented Survey of Federated Recommender Systems: Techniques, Challenges, and Future Directions Interaction-level membership inference attack against federated rec- ommender systems,

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Observation 937f3216-0e03-4a6c-9602-c13d5476d638 · outbound

This paper cites Comprehensive privacy analysis on federated recommender system against attribute inference attacks,.

A Scenario-Oriented Survey of Federated Recommender Systems: Techniques, Challenges, and Future Directions Comprehensive privacy analysis on federated recommender system against attribute inference attacks,

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A Scenario-Oriented Survey of Federated Recommender Systems: Techniques, Challenges, and Future Directions Not one less: Exploring interplay between user profiles and items in untargeted attacks against federated recommendation,

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A Scenario-Oriented Survey of Federated Recommender Systems: Techniques, Challenges, and Future Directions Eyes on federated recommendation: Targeted poisoning with compe- tition and its mitigation,

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A Scenario-Oriented Survey of Federated Recommender Systems: Techniques, Challenges, and Future Directions User consented federated recommender system against personalized attribute inference attack,

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This paper cites Defending against membership inference attack for counterfactual federated recommendation with differentially private representation learning,.

A Scenario-Oriented Survey of Federated Recommender Systems: Techniques, Challenges, and Future Directions Defending against membership inference attack for counterfactual federated recommendation with differentially private representation learning,

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Observation f8181eb5-e5d2-4afa-bfe0-eaab31b1a002 · outbound

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A Scenario-Oriented Survey of Federated Recommender Systems: Techniques, Challenges, and Future Directions Poisoning federated recommender systems with fake users,

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A Scenario-Oriented Survey of Federated Recommender Systems: Techniques, Challenges, and Future Directions Preventing the popular item embedding based attack in federated recommenda- tions,

Reference 66

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Observation cb22893c-43c8-452b-85b4-25a23c014d2c · outbound

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A Scenario-Oriented Survey of Federated Recommender Systems: Techniques, Challenges, and Future Directions Poisoning decentralized collaborative recommender system and its countermea- sures,

Reference 67

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Observation 1ac0621b-1fca-441a-8b49-3f7bab578f6a · outbound

This paper cites Hidattack: An effective and undetectable model poisoning attack to federated recommenders,.

A Scenario-Oriented Survey of Federated Recommender Systems: Techniques, Challenges, and Future Directions Hidattack: An effective and undetectable model poisoning attack to federated recommenders,

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This paper cites Defending federated recommender systems against untargeted attacks: A contribution-aware robust aggregation scheme,.

A Scenario-Oriented Survey of Federated Recommender Systems: Techniques, Challenges, and Future Directions Defending federated recommender systems against untargeted attacks: A contribution-aware robust aggregation scheme,

Reference 69

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A Scenario-Oriented Survey of Federated Recommender Systems: Techniques, Challenges, and Future Directions Aegis: Post-training attribute unlearning in federated recommender systems against attribute inference attacks,

Reference 70

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Observation 40f72f1b-29f6-4b90-8257-c5896bdb9b01 · outbound

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A Scenario-Oriented Survey of Federated Recommender Systems: Techniques, Challenges, and Future Directions Fedcdr: federated cross-domain recommendation for privacy- preserving rating prediction,

Reference 72

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Observation 37b1efa8-e422-4633-93fb-a7c7e9329d4c · outbound

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A Scenario-Oriented Survey of Federated Recommender Systems: Techniques, Challenges, and Future Directions Fedcore: Federated learning for cross-organization recommendation ecosystem,

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A Scenario-Oriented Survey of Federated Recommender Systems: Techniques, Challenges, and Future Directions Ppgencdr: A stable and robust framework for privacy-preserving cross-domain recommen- dation,

Reference 74

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Observation 41ccda01-3fb2-4083-97e2-79b26a737b0b · outbound

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A Scenario-Oriented Survey of Federated Recommender Systems: Techniques, Challenges, and Future Directions Federated graph learning for cross-domain recommendation,

Reference 75

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Observation 0eb9312a-b55a-4e76-bf81-ec65d91c36af · outbound

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A Scenario-Oriented Survey of Federated Recommender Systems: Techniques, Challenges, and Future Directions Privacy-preserving cross-domain se- quential recommendation,

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A Scenario-Oriented Survey of Federated Recommender Systems: Techniques, Challenges, and Future Directions Fedct: Federated collaborative transfer for recommendation,

Reference 77

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This paper cites Feder- ated probabilistic preference distribution modelling with compactness co-clustering for privacy-preserving multi-domain recommendation.

A Scenario-Oriented Survey of Federated Recommender Systems: Techniques, Challenges, and Future Directions Feder- ated probabilistic preference distribution modelling with compactness co-clustering for privacy-preserving multi-domain recommendation

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Observation 360cfc5f-1a91-4cf7-935d-34c14255aac0 · outbound

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A Scenario-Oriented Survey of Federated Recommender Systems: Techniques, Challenges, and Future Directions Differential private knowledge transfer for privacy-preserving cross-domain recom- mendation,

Reference 79

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Observation 0ca5693c-1a23-48b0-9053-647acbcee97c · outbound

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A Scenario-Oriented Survey of Federated Recommender Systems: Techniques, Challenges, and Future Directions Differentially private sparse mapping for privacy-preserving cross domain recommendation,

Reference 80

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This paper cites A federated multi-view deep learning framework for privacy-preserving recommendations,.

A Scenario-Oriented Survey of Federated Recommender Systems: Techniques, Challenges, and Future Directions A federated multi-view deep learning framework for privacy-preserving recommendations,

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A Scenario-Oriented Survey of Federated Recommender Systems: Techniques, Challenges, and Future Directions Refer: Retrieval-enhanced vertical federated recommendation for full set user benefit,

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Observation b85ea1e7-7852-438f-865d-81ed57b3b39e · outbound

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A Scenario-Oriented Survey of Federated Recommender Systems: Techniques, Challenges, and Future Directions Feddcsr: Federated cross-domain sequential recommendation via disentangled representation learning,

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Observation 64701344-c629-4d83-8751-0925913f70c2 · outbound

This paper cites Fedhcdr: Federated cross-domain recommendation with hypergraph signal decoupling,.

A Scenario-Oriented Survey of Federated Recommender Systems: Techniques, Challenges, and Future Directions Fedhcdr: Federated cross-domain recommendation with hypergraph signal decoupling,

Reference 84

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Observation 618432b7-78f4-4206-82e7-dd376bc0850d · outbound

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A Scenario-Oriented Survey of Federated Recommender Systems: Techniques, Challenges, and Future Directions Win-win: a privacy-preserving federated framework for dual-target cross-domain recommendation,

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Observation 94f3fbb1-8176-4c06-ad99-1125061c20a4 · outbound

This paper cites Fedcsr: A federated framework for multi-platform cross-domain sequential recommendation with dual contrastive learning,.

A Scenario-Oriented Survey of Federated Recommender Systems: Techniques, Challenges, and Future Directions Fedcsr: A federated framework for multi-platform cross-domain sequential recommendation with dual contrastive learning,

Reference 86

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This paper cites Privacy-preserving cross-domain recommendation with federated graph learning,.

A Scenario-Oriented Survey of Federated Recommender Systems: Techniques, Challenges, and Future Directions Privacy-preserving cross-domain recommendation with federated graph learning,

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Observation ba5e5cd0-1fad-49f6-bb6b-e5d11b51e816 · outbound

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A Scenario-Oriented Survey of Federated Recommender Systems: Techniques, Challenges, and Future Directions Prompt- enhanced federated content representation learning for cross-domain recommendation,

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Observation 6dff6a5c-98bf-46e5-9af1-c0f654d4f7c0 · outbound

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A Scenario-Oriented Survey of Federated Recommender Systems: Techniques, Challenges, and Future Directions Recommendation algorithm based on federated multi-modal learning,

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A Scenario-Oriented Survey of Federated Recommender Systems: Techniques, Challenges, and Future Directions Towards resource-efficient and secure federated multimedia recommendation,

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Observation e952882c-17ef-435b-9b27-6657e839b110 · outbound

This paper cites A privacy-preserving framework with multi-modal data for cross-domain recommendation,.

A Scenario-Oriented Survey of Federated Recommender Systems: Techniques, Challenges, and Future Directions A privacy-preserving framework with multi-modal data for cross-domain recommendation,

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Observation a94b8c92-e3ee-40dc-8715-99e1d8974dcc · outbound

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A Scenario-Oriented Survey of Federated Recommender Systems: Techniques, Challenges, and Future Directions Personalized item em- beddings in federated multimodal recommendation,

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Observation 62949ca1-7c2f-44b5-bd53-3539b6156bbf · outbound

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A Scenario-Oriented Survey of Federated Recommender Systems: Techniques, Challenges, and Future Directions Federated adaptation for foundation model-based recommendations,

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Observation a9fc3852-f0df-49bf-8cc1-91b5aba7b898 · outbound

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A Scenario-Oriented Survey of Federated Recommender Systems: Techniques, Challenges, and Future Directions A Federated Framework for LLM-based Recommendation

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Observation 28680a13-a66b-4f08-8cef-56c29efe8e98 · outbound

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A Scenario-Oriented Survey of Federated Recommender Systems: Techniques, Challenges, and Future Directions Fellas: Enhancing federated sequential recommendation with llm as external services,

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Observation 6ac7772e-1554-4955-a2e2-600e9f991922 · outbound

This paper cites Multifaceted user modeling in recommendation: A federated foundation models approach,.

A Scenario-Oriented Survey of Federated Recommender Systems: Techniques, Challenges, and Future Directions Multifaceted user modeling in recommendation: A federated foundation models approach,

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A Scenario-Oriented Survey of Federated Recommender Systems: Techniques, Challenges, and Future Directions Federated rec- ommendation systems,

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This paper cites Horizontal federated recommender system: A survey,.

A Scenario-Oriented Survey of Federated Recommender Systems: Techniques, Challenges, and Future Directions Horizontal federated recommender system: A survey,

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Observation 0d28ab7c-cf83-4ab4-9b5d-5f4381115dcb · outbound

This paper cites Navigating the Future of Federated Recommendation Systems with Foundation Models.

A Scenario-Oriented Survey of Federated Recommender Systems: Techniques, Challenges, and Future Directions Navigating the Future of Federated Recommendation Systems with Foundation Models

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Observation 9d97b12f-1a01-4613-9426-fd5295943323 · outbound

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A Scenario-Oriented Survey of Federated Recommender Systems: Techniques, Challenges, and Future Directions A survey on cross-user federated recommendation,

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A Scenario-Oriented Survey of Federated Recommender Systems: Techniques, Challenges, and Future Directions Fast matrix factorization for online recommendation with implicit feedback,

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Observation 6e6cd8df-9a37-4c2c-b845-e319a974afa9 · outbound

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A Scenario-Oriented Survey of Federated Recommender Systems: Techniques, Challenges, and Future Directions Explicit factor models for explainable recommendation based on phrase-level sentiment analysis,

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A Scenario-Oriented Survey of Federated Recommender Systems: Techniques, Challenges, and Future Directions Communication-efficient learning of deep networks from decentral- ized data,

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A Scenario-Oriented Survey of Federated Recommender Systems: Techniques, Challenges, and Future Directions Bpr: Bayesian personalized ranking from implicit feedback,

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