{"id":"W4360604871","doi":"10.1109/icnc57223.2023.10074032","title":"Malicious Model Detection for Federated Learning Empowered Energy Storage Systems","year":2023,"lang":"en","type":"article","venue":"","topic":"Machine Learning and ELM","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland; Queen's University","funders":"","keywords":"Computer science; Autoencoder; Flexibility (engineering); Distributed computing; Renewable energy; Computer security; Smart grid; Artificial intelligence; Deep learning; Engineering","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003550263,0.0001111228,0.0001298306,0.0001491974,0.0004108901,0.0003133145,0.0002409229,0.00007126439,0.000002661936],"category_scores_gemma":[0.00006161448,0.0001005205,0.00005312025,0.0004233966,0.000006550445,0.0001635844,0.00008919054,0.0000920379,0.00005038614],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000340057,"about_ca_system_score_gemma":0.00003012631,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000459481,"about_ca_topic_score_gemma":0.00004943626,"domain_scores_codex":[0.9989883,0.0000841099,0.0001583064,0.0003170994,0.0001591155,0.0002930935],"domain_scores_gemma":[0.9995298,0.00008010898,0.00006207835,0.0001882521,0.00007283907,0.00006693089],"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":[0.000007910488,0.00001068342,0.00002053072,0.00001854728,0.00001277173,0.000004272268,0.0002709444,0.9594043,0.002793133,0.009777715,0.001932678,0.02574651],"study_design_scores_gemma":[0.0002362219,0.00009085695,0.00003409214,0.000006866245,0.000002198581,0.000007312361,0.00004895235,0.9863067,0.0005021417,0.0002584399,0.01237185,0.000134411],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02463099,0.00002526809,0.9701342,0.0002393368,0.0004588001,0.00008751897,5.917284e-7,0.001726091,0.00269722],"genre_scores_gemma":[0.9573756,0.000004728319,0.00151957,0.00008521952,0.00006490597,0.00005396033,0.00000895266,0.0000166617,0.04087044],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9686146,"threshold_uncertainty_score":0.4099106,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01646390990789621,"score_gpt":0.2506280718938408,"score_spread":0.2341641619859446,"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."}}