{"id":"W4400188039","doi":"10.1109/mwc.018.2300534","title":"A Two-Dimensional Hybrid Federated Learning Framework for Secure Data Cooperation of Multiple Network Service Providers","year":2024,"lang":"en","type":"article","venue":"IEEE Wireless Communications","topic":"Privacy-Preserving Technologies in Data","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary; University of Waterloo","funders":"Higher Education Discipline Innovation Project; Natural Science Foundation of Hunan Province; National Natural Science Foundation of China","keywords":"Computer science; Service provider; Computer network; Computer security; Service (business); 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":"codex-gemma-dda1882f352a","candidate_categories":["open_science"],"consensus_categories":["open_science"],"category_scores_codex":[0.0007605034,0.0001941928,0.0002427101,0.000112083,0.0007014582,0.0004523908,0.02958256,0.0001288965,0.000003954665],"category_scores_gemma":[0.004914964,0.0001996192,0.0000478533,0.001139988,0.0001517919,0.00123182,0.0405131,0.0007633663,0.00001945076],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006454183,"about_ca_system_score_gemma":0.0003248476,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001510181,"about_ca_topic_score_gemma":0.000353364,"domain_scores_codex":[0.998102,0.0002471429,0.0004566948,0.0006153181,0.0002458791,0.0003329495],"domain_scores_gemma":[0.9821541,0.002678359,0.0001729558,0.01456877,0.0003709697,0.0000548655],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00009234998,0.0007246815,0.0008380832,0.0009116573,0.0008300121,0.00001771892,0.001296209,0.1363342,0.016033,0.2701717,0.442189,0.1305613],"study_design_scores_gemma":[0.0002021202,0.00003142473,0.00001524903,0.0004207994,0.00002068058,0.00001118904,0.00003852608,0.9517083,0.001570963,0.0404304,0.005351273,0.0001990507],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0104815,0.001549158,0.9454167,0.03972426,0.0005165147,0.0006819887,0.0002359186,0.001337709,0.00005628631],"genre_scores_gemma":[0.5364273,0.00007965541,0.462426,0.0001957142,0.00004423871,0.0001054326,0.0006917475,0.0000211418,0.000008797775],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8153741,"threshold_uncertainty_score":0.9756678,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07267240013407894,"score_gpt":0.3320478669802058,"score_spread":0.2593754668461269,"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."}}