{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002339737,0.0002980928,0.0004509238,0.0002905417,0.0004970576,0.001789519,0.00169868,0.0009541547,0.0009443487],"category_scores_gemma":[0.002308674,0.0001705009,0.0002753775,0.0005221412,0.001046133,0.002644635,0.001153772,0.001485383,0.0002836623],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001448399,"about_ca_system_score_gemma":0.001285656,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002613872,"about_ca_topic_score_gemma":0.003102737,"domain_scores_codex":[0.9991691,0.0002875082,0.00004456397,0.0001472171,0.000239338,0.0001122961],"domain_scores_gemma":[0.9990539,0.0002825588,0.00006859471,0.0001845908,0.0002944958,0.0001158808],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002196411,0.0002087521,0.003507227,0.0003733988,0.00006600787,0.000243262,0.000316004,0.3331413,0.005556096,0.1847998,0.005992466,0.465576],"study_design_scores_gemma":[0.00001362949,0.0001491853,0.0004145344,0.00006894051,0.00001817826,0.0001698765,0.0001158988,0.9273556,0.002725964,0.05458987,0.0143601,0.00001813475],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02849227,0.004840473,0.9532872,0.0033133,0.0002375896,0.0001162055,0.00004692384,0.0007620221,0.008903999],"genre_scores_gemma":[0.7513356,0.004279925,0.237456,0.001049744,0.0002035142,0.0001492604,0.0001241396,0.00005887201,0.005343092],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002613872,"threshold_uncertainty_score":0.01237386,"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."}}