{"id":"W4400076712","doi":"10.1109/ticps.2024.3419751","title":"Privacy-Prioritized Model Aggregation in ICPS: A Novel Approach to Federated Learning Aggregation With Lime and Blockchain","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Industrial Cyber-Physical Systems","topic":"Privacy-Preserving Technologies in Data","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Blockchain; Federated learning; Computer science; Data aggregator; Computer security; Artificial intelligence; Computer network; Wireless sensor network","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":[0.006760853,0.0006157215,0.001071819,0.001131764,0.001184345,0.002304856,0.002176266,0.001304997,0.002461303],"category_scores_gemma":[0.01320258,0.0003848844,0.0008937828,0.001556366,0.001582347,0.005498333,0.006146257,0.002180921,0.0003826729],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001467846,"about_ca_system_score_gemma":0.002849416,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003109892,"about_ca_topic_score_gemma":0.004559536,"domain_scores_codex":[0.9956453,0.001942882,0.0002671466,0.0006789629,0.001125553,0.0003401361],"domain_scores_gemma":[0.9918107,0.002896309,0.0006052481,0.003664212,0.0007621286,0.0002614553],"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":[0.0003229775,0.0004269567,0.004443506,0.0001605861,0.0001572329,0.0004619204,0.000652456,0.5782837,0.003806307,0.1350945,0.002662017,0.2735278],"study_design_scores_gemma":[0.00001372232,0.00005308477,0.0001646664,0.00001332631,0.00001225436,0.00005947446,0.00005314854,0.9344333,0.001538706,0.06182143,0.001827362,0.000009499557],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01950639,0.0001096164,0.9766676,0.0004296345,0.00002473838,0.0001445916,0.00009830086,0.0008694853,0.002149639],"genre_scores_gemma":[0.757086,0.0001280628,0.2392075,0.0001946249,0.00004102574,0.0001655133,0.0003001306,0.00009904422,0.002778053],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006760853,"threshold_uncertainty_score":0.03575522,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04776647555378325,"score_gpt":0.2647948330906278,"score_spread":0.2170283575368446,"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."}}