{"id":"W4401692155","doi":"10.1109/tvt.2024.3444784","title":"Asynchronous Federated Based Vehicular Edge Computation Offloading","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Blockchain Technology Applications and Security","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University; Becton Dickinson (Canada)","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Asynchronous communication; Computer science; Computation offloading; Computation; Enhanced Data Rates for GSM Evolution; Computer network; Embedded system; Edge computing; Distributed computing; Telecommunications; Algorithm","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006545659,0.0005553873,0.0006832656,0.0002475176,0.0004892703,0.0007885394,0.001337498,0.0004733852,0.003028109],"category_scores_gemma":[0.001759353,0.0001945006,0.0002854687,0.000289742,0.0005467742,0.001055454,0.001284732,0.000736459,0.000393382],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007464949,"about_ca_system_score_gemma":0.00130358,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005070807,"about_ca_topic_score_gemma":0.006899645,"domain_scores_codex":[0.9995102,0.000090248,0.00002122866,0.0001192466,0.0001065227,0.0001525592],"domain_scores_gemma":[0.9993141,0.0002333565,0.00006602265,0.0001218581,0.0001711671,0.0000935543],"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":[0.0003034847,0.0001501283,0.001420043,0.00004946859,0.00002110839,0.0001235389,0.00006317144,0.9131945,0.003980867,0.007921303,0.002186616,0.07058579],"study_design_scores_gemma":[0.000005412737,0.00002005003,0.00006342267,0.000001579432,0.000002070276,0.000008515804,0.000007556365,0.9975703,0.0005576937,0.001537908,0.0002234186,0.00000194897],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1165991,0.0002977484,0.8739159,0.0003720434,0.0001439919,0.00007931024,0.000105466,0.001247468,0.007239059],"genre_scores_gemma":[0.9840083,0.00004308174,0.01353058,0.00006853831,0.00001140785,0.000022675,0.00005061371,0.00002209181,0.002242697],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005070807,"threshold_uncertainty_score":0.01012999,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009506457382154335,"score_gpt":0.2391971176013363,"score_spread":0.229690660219182,"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."}}