{"id":"W4405906986","doi":"10.1109/ojcoms.2024.3523468","title":"Secure Distributed Federated Learning for Cyberattacks Detection in B5G Open Radio Access Networks","year":2024,"lang":"en","type":"article","venue":"IEEE Open Journal of the Communications Society","topic":"Privacy-Preserving Technologies in Data","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"Ministère de la Défense Nationale; Agence Nationale de la Recherche","keywords":"Computer network; Computer science; Computer security","routes":{"ca_aff":true,"ca_fund":true,"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":["scholarly_communication","open_science"],"consensus_categories":["open_science"],"category_scores_codex":[0.003147904,0.0001389421,0.0002529254,0.00005427185,0.0009920346,0.004840252,0.104178,0.0001561055,0.000004921882],"category_scores_gemma":[0.003342518,0.000106068,0.0001860214,0.001464772,0.0001330943,0.003171894,0.1006861,0.001522774,0.000001512371],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005007515,"about_ca_system_score_gemma":0.0003380365,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009717648,"about_ca_topic_score_gemma":0.0002384919,"domain_scores_codex":[0.9983259,0.0004562623,0.0005280931,0.0002359381,0.0002121688,0.0002416459],"domain_scores_gemma":[0.9932113,0.0007538018,0.0003959369,0.005247839,0.0003459499,0.00004514462],"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":[0.00004236482,0.0002325036,0.0008958631,0.00004585467,0.0004568413,0.000006494775,0.001030719,0.02710657,0.001211172,0.001579094,0.8891032,0.07828929],"study_design_scores_gemma":[0.0004965171,0.00004807059,0.0003969037,0.0003455717,0.00002320672,0.0001014234,0.0001691749,0.9476604,0.001094229,0.01811459,0.03139966,0.0001502926],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002959467,0.001385413,0.9237652,0.06979938,0.0008585125,0.0008468,0.00001851285,0.00009374385,0.0002729365],"genre_scores_gemma":[0.8950808,0.001043917,0.10343,0.0002025032,0.00004750055,0.00007803697,0.00001328564,0.00001839212,0.00008558383],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9205538,"threshold_uncertainty_score":0.9961928,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08512358457175276,"score_gpt":0.3802903490576285,"score_spread":0.2951667644858758,"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."}}