{"id":"W4400727856","doi":"10.1109/iwcmc61514.2024.10592346","title":"Impact of Neural Network Depth on Split Federated Learning Performance in Low-Resource UAV Networks","year":2024,"lang":"en","type":"article","venue":"","topic":"Privacy-Preserving Technologies in Data","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"AC3","keywords":"Computer science; Artificial neural network; Resource (disambiguation); Computer network; Artificial intelligence; Distributed 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":[0.002157604,0.0006854139,0.0007071981,0.0002656978,0.0006501014,0.0008168104,0.001017562,0.0008304735,0.001281373],"category_scores_gemma":[0.00848709,0.0002131221,0.0002802356,0.0002468704,0.0009773807,0.002207361,0.001249719,0.00107594,0.0001331259],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009907004,"about_ca_system_score_gemma":0.0009788129,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004350143,"about_ca_topic_score_gemma":0.004059378,"domain_scores_codex":[0.9993898,0.0001474488,0.00003493677,0.0001244237,0.0001070732,0.0001963686],"domain_scores_gemma":[0.9964175,0.002141291,0.0002886365,0.0005468946,0.0004174074,0.0001882221],"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":[0.0007844053,0.0001856796,0.00290278,0.00005578613,0.00004663479,0.0001016348,0.00009587327,0.9450959,0.003160608,0.002296704,0.0004656713,0.04480822],"study_design_scores_gemma":[0.00001455181,0.0001675326,0.0004546837,0.00001256844,0.00001097036,0.00003110554,0.00007017506,0.9935621,0.003955004,0.00161994,0.00009621735,0.000005237918],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.861249,0.000564778,0.1338631,0.0004651655,0.0000554154,0.00004855654,0.00008310986,0.0007787725,0.002892099],"genre_scores_gemma":[0.9938542,0.00005151859,0.005772505,0.00003413325,0.000002188447,0.000009091837,0.00002961865,0.000009248091,0.0002375954],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004350143,"threshold_uncertainty_score":0.01141059,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02074008590016412,"score_gpt":0.2754222490583628,"score_spread":0.2546821631581986,"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."}}