{"id":"W4392943612","doi":"10.1109/icmla58977.2023.00161","title":"Towards Safe Online Machine Learning Model Training and Inference on Edge Networks","year":2023,"lang":"en","type":"article","venue":"","topic":"Adversarial Robustness in Machine Learning","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Computer science; Training (meteorology); Inference; Enhanced Data Rates for GSM Evolution; Artificial intelligence; Machine learning; Edge device; Online learning; Multimedia; Operating system","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":[0.001328101,0.001042541,0.0009245595,0.0005477536,0.0006437629,0.0008656127,0.001770656,0.001092985,0.001653887],"category_scores_gemma":[0.006541992,0.0006911495,0.0007607859,0.0004125145,0.001164023,0.002246503,0.002212304,0.002726446,0.0008137601],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007548627,"about_ca_system_score_gemma":0.001381605,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003087777,"about_ca_topic_score_gemma":0.003546303,"domain_scores_codex":[0.9989375,0.0003432343,0.00004510704,0.0002165945,0.0002837199,0.0001737593],"domain_scores_gemma":[0.9966998,0.001594701,0.000290222,0.0009437426,0.0003619861,0.0001094865],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002738966,0.00007840926,0.000878832,0.00005652721,0.00003631859,0.0001551204,0.00009758702,0.8983541,0.007230754,0.01372244,0.001649205,0.07746691],"study_design_scores_gemma":[0.00000269107,0.000009459316,0.00003211878,0.000001682184,0.000001926362,0.0000101566,0.000006061888,0.9935347,0.001686013,0.004575219,0.0001382817,0.000001699842],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01916471,0.0000759979,0.9785267,0.0001558739,0.00001652098,0.00002699819,0.00003382562,0.001300914,0.00069845],"genre_scores_gemma":[0.6434219,0.0001495373,0.3532255,0.0002142192,0.00004674203,0.0001040299,0.000329061,0.000345046,0.002163969],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003087777,"threshold_uncertainty_score":0.007023752,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05657319367236363,"score_gpt":0.3092488177099152,"score_spread":0.2526756240375516,"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."}}