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Found 3 papers, 1 papers with code
LLM-based Federated Recommendation
Nevertheless, applying Fed4Rec to LLM-based recommendation presents two main challenges: first, an increase in the imbalance of performance across clients, affecting the system's efficiency over time, and second, a high demand on clients' computational and storage resources for local training and inference of LLMs.
Plug-In Diffusion Model for Embedding Denoising in Recommendation System
In the realm of recommender systems, handling noisy implicit feedback is a prevalent challenge.
Temporally and Distributionally Robust Optimization for Cold-Start Recommendation
They learn a feature extractor on warm-start items to align feature representations with interactions, and then leverage the feature extractor to extract the feature representations of cold-start items for interaction prediction.
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