{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002514276,0.0003054589,0.0002883392,0.001280251,0.0005752174,0.0002053859,0.0007592594,0.0007068763,0.00002627023],"category_scores_gemma":[0.00000742943,0.0003122525,0.0001710189,0.002652737,0.0002400252,0.0002130083,0.000009754241,0.0009897138,0.0003372457],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00020005,"about_ca_system_score_gemma":0.0001733609,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001449065,"about_ca_topic_score_gemma":0.00001650474,"domain_scores_codex":[0.9979648,0.00006795535,0.0003717593,0.0008906627,0.0002468464,0.0004579692],"domain_scores_gemma":[0.9988531,0.0001110574,0.00006232819,0.0007556453,0.0001393112,0.00007849921],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000016884,0.0008418632,0.00001502992,0.0001460553,0.0003370949,0.000445844,0.0001705458,0.08287212,0.03805522,0.1702683,0.0006474748,0.7061836],"study_design_scores_gemma":[0.0003153028,0.0001749686,0.000009077308,0.00007043375,0.00003436465,0.0001237028,0.00002199114,0.8308613,0.1542541,0.009840555,0.00398541,0.0003087871],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04244612,0.000596846,0.942539,0.008182725,0.0005909232,0.0004197714,0.000009628041,0.005074784,0.0001402262],"genre_scores_gemma":[0.9698907,0.00002972215,0.02941606,0.000281756,0.00002147841,0.0002884302,0.000006364183,0.00003370937,0.00003184368],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9274445,"threshold_uncertainty_score":0.9999329,"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."}}