{"id":"W4381198751","doi":"10.1109/twc.2023.3285435","title":"FLSTRA: Federated Learning in Stratosphere","year":2023,"lang":"en","type":"article","venue":"IEEE Transactions on Wireless Communications","topic":"Privacy-Preserving Technologies in Data","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure; Carleton University","funders":"","keywords":"Computer science; Telecommunications link; Quality of service; Resource allocation; Computer network; Convergence (economics); Distributed computing; Real-time computing","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":[0.001030023,0.0007342898,0.0007920759,0.0004806052,0.0006408374,0.000957902,0.002076261,0.001163793,0.001839194],"category_scores_gemma":[0.002033711,0.0002658493,0.0004207916,0.0006302993,0.0007914406,0.00149599,0.001672722,0.001015136,0.000511189],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008666385,"about_ca_system_score_gemma":0.002129229,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01164801,"about_ca_topic_score_gemma":0.01361014,"domain_scores_codex":[0.9995159,0.0001237806,0.00001894893,0.0001084517,0.000100078,0.0001329001],"domain_scores_gemma":[0.9992664,0.000266086,0.00007105266,0.0001628881,0.0001507417,0.00008291638],"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":[0.0002475895,0.0001576274,0.002003401,0.00005948719,0.00006747116,0.0001452382,0.00008104945,0.8310485,0.00270257,0.006567373,0.00516164,0.1517581],"study_design_scores_gemma":[0.00001911718,0.00004260169,0.0001013877,0.000003088032,0.000004177215,0.00002304556,0.00001436313,0.995813,0.0007964991,0.002331769,0.0008465425,0.000004418292],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04728778,0.0004767269,0.9436094,0.0004947691,0.00008768411,0.0001004482,0.0001642711,0.004624587,0.003154371],"genre_scores_gemma":[0.7958354,0.0002114369,0.1998634,0.0004717932,0.00004360946,0.000135688,0.0004781546,0.0001193708,0.002841085],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01164801,"threshold_uncertainty_score":0.0231604,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05023127024414255,"score_gpt":0.2991405728809234,"score_spread":0.2489093026367809,"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."}}