{"id":"W4410854215","doi":"10.1109/mcom.001.2400484","title":"Federated Learning in NTN: Design, Architecture, and Challenges","year":2025,"lang":"en","type":"article","venue":"IEEE Communications Magazine","topic":"Wireless Body Area Networks","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Computer science; Architecture; Computer architecture; Multimedia; 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":[],"consensus_categories":[],"category_scores_codex":[0.0002184671,0.0001262665,0.000160357,0.0002091645,0.0001234282,0.00004207349,0.000308594,0.00008133297,0.000004628836],"category_scores_gemma":[0.00004385592,0.0001409221,0.00001622567,0.0003496143,0.0000783322,0.00006092121,0.0001132367,0.0004859074,0.00001836325],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004654625,"about_ca_system_score_gemma":0.00001777608,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005477326,"about_ca_topic_score_gemma":0.0004731826,"domain_scores_codex":[0.9992962,0.0001597907,0.0001970589,0.0001234637,0.00004709631,0.000176423],"domain_scores_gemma":[0.9990203,0.0003775893,0.00001917385,0.0005198932,0.00003142446,0.000031593],"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":[0.00002203652,0.0001060085,0.0007356121,0.0002131292,0.0001053182,0.000006876492,0.0009723629,0.5848897,0.005898186,0.002521492,0.004768038,0.3997613],"study_design_scores_gemma":[0.0007624719,0.00003130739,0.01605676,0.0003503684,0.00002065865,0.000009997549,0.0001206506,0.8821316,0.0005884065,0.0016686,0.0979201,0.000339121],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07064717,0.2545324,0.4113864,0.02192265,0.0009977734,0.001737618,0.00000806368,0.003579822,0.2351881],"genre_scores_gemma":[0.9704812,0.02326764,0.005752678,0.0000402833,0.00002112178,0.00007942437,0.00001084363,0.00002377402,0.000323047],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.899834,"threshold_uncertainty_score":0.5746638,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03710410878106683,"score_gpt":0.2569918539226165,"score_spread":0.2198877451415497,"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."}}