{"id":"W7101589494","doi":"10.1109/tdsc.2025.3626379","title":"SXGB: Secure and Efficient Vertical Federated XGBoost via Trusted Execution Environments","year":2025,"lang":"","type":"article","venue":"IEEE Transactions on Dependable and Secure Computing","topic":"Education and Cultural Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"National Natural Science Foundation of China","keywords":"Homomorphic encryption; Scheme (mathematics); Encryption; Speedup; Inference; Cloud computing; ENCODE; Information privacy; Data sharing; Cryptography","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.0003806007,0.0003894769,0.0004164031,0.0001402178,0.004692934,0.0003810459,0.0001342299,0.0003262824,0.0002158255],"category_scores_gemma":[0.00001868693,0.0003703371,0.0001143169,0.0006451992,0.0004462216,0.0001528889,0.00001172044,0.0006017476,0.00003056936],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002248949,"about_ca_system_score_gemma":0.0001126549,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000442273,"about_ca_topic_score_gemma":0.0005307853,"domain_scores_codex":[0.9974261,0.0003263565,0.0005125888,0.0007288409,0.0004013195,0.0006047732],"domain_scores_gemma":[0.9991671,0.0002632046,0.00009087718,0.0001404461,0.00008444129,0.0002539753],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00130119,0.006754729,0.001784482,0.001178841,0.003124817,0.00008211237,0.2228836,0.05337885,0.01751729,0.009487695,0.003894579,0.6786119],"study_design_scores_gemma":[0.009712485,0.001325735,0.01202121,0.002675151,0.002367131,0.0001000144,0.1786828,0.6942489,0.03526767,0.001103765,0.05864489,0.003850276],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7933867,0.002636697,0.1938786,0.003395398,0.002468082,0.000776594,0.00002087875,0.0001071018,0.003329927],"genre_scores_gemma":[0.9965011,0.00106747,0.00009441909,0.0004750146,0.0000938779,0.0000128144,0.000005307273,0.00001539161,0.001734623],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6747616,"threshold_uncertainty_score":0.9998748,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01240025183698758,"score_gpt":0.2713866850307167,"score_spread":0.2589864331937292,"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."}}