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Found 2 papers, 2 papers with code
Training Large-Scale News Recommenders with Pretrained Language Models in the Loop
Secondly, it improves the data efficiency of the training workflow, where non-informative data can be eliminated from encoding.
FedCTR: Federated Native Ad CTR Prediction with Multi-Platform User Behavior Data
On each platform a local user model is used to learn user embeddings from the local user behaviors on that platform.
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