{"id":"W4406983186","doi":"10.1109/tsc.2025.3536320","title":"DeFedGCN: Privacy-Preserving Decentralized Federated GCN for Recommender System","year":2025,"lang":"en","type":"article","venue":"IEEE Transactions on Services Computing","topic":"Recommender Systems and Techniques","field":"Computer Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"China Postdoctoral Science Foundation; National Natural Science Foundation of China","keywords":"Computer science; Recommender system; Information privacy; Computer security; Internet privacy; World Wide Web","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001515534,0.0006200726,0.0009253902,0.000595375,0.0009666102,0.0007739238,0.002608889,0.001365981,0.001006823],"category_scores_gemma":[0.004384393,0.0003846186,0.0005396205,0.0007902936,0.0008802196,0.001643708,0.00158982,0.001170128,0.0002890647],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00164213,"about_ca_system_score_gemma":0.00233673,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01933911,"about_ca_topic_score_gemma":0.03032237,"domain_scores_codex":[0.9989784,0.0002323893,0.00004275754,0.0003191557,0.000292209,0.0001351392],"domain_scores_gemma":[0.9979195,0.0006423152,0.0001963125,0.0007104271,0.0004225301,0.0001089214],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004230612,0.0001621929,0.003007831,0.0001373668,0.0001143349,0.0002506112,0.0001935683,0.7518919,0.009568462,0.01988024,0.006813235,0.2075571],"study_design_scores_gemma":[0.00001542979,0.00003385173,0.0001736933,0.000003737892,0.000009363783,0.00004383365,0.00001416633,0.993083,0.001231311,0.004552396,0.0008310105,0.000008236396],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05017332,0.0003822939,0.9450526,0.0003368043,0.00007335193,0.0001049867,0.0002261013,0.001764401,0.001886231],"genre_scores_gemma":[0.8175919,0.0002077194,0.1770037,0.0003291622,0.0000415364,0.0001148882,0.0005723124,0.000065362,0.004073462],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01933911,"threshold_uncertainty_score":0.0384531,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01909109743749904,"score_gpt":0.2816092261796781,"score_spread":0.2625181287421791,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}