{"id":"W4392943755","doi":"10.1109/cac59555.2023.10451590","title":"Resilient Consensus of Multi-Agent Systems on Time-Varying Directed Graphs Under Byzantine Attacks and Actuation Attacks","year":2023,"lang":"en","type":"article","venue":"","topic":"Distributed systems and fault tolerance","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"National Natural Science Foundation of China","keywords":"Computer science; Byzantine architecture; Byzantine fault tolerance; Computer security; Distributed computing; Multi-agent system; Computer network; Artificial intelligence; Fault tolerance; History","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":[0.0009893549,0.0008184704,0.000666986,0.0006517855,0.000455599,0.0008927453,0.000807589,0.0007549325,0.0006020373],"category_scores_gemma":[0.00474816,0.0002103505,0.0005506444,0.0005026524,0.001091102,0.001191834,0.0009991255,0.0007571266,0.0001197378],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008188991,"about_ca_system_score_gemma":0.0005963151,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002074339,"about_ca_topic_score_gemma":0.0009733374,"domain_scores_codex":[0.9991633,0.000275459,0.00004974258,0.0002286959,0.0001872284,0.00009555727],"domain_scores_gemma":[0.9982169,0.0009551854,0.0004153625,0.0001479611,0.0001943666,0.00007011514],"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":[0.00009191546,0.00001580466,0.0003919795,0.00008198397,0.00004834379,0.0002540904,0.0001448703,0.9410542,0.009160297,0.03558997,0.0002538153,0.01291265],"study_design_scores_gemma":[0.000009520177,0.00004137385,0.0001249818,0.000004024382,0.00001185296,0.00003208213,0.00002766993,0.9836692,0.001584251,0.01421827,0.0002699587,0.000006717985],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1055517,0.0001857796,0.8916829,0.0002411017,0.00004037712,0.00004831213,0.00004726338,0.0002299392,0.001972478],"genre_scores_gemma":[0.9809048,0.0002471557,0.01744926,0.00004060248,0.00002063015,0.00005760372,0.00004964975,0.00002058408,0.001209836],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002074339,"threshold_uncertainty_score":0.00594151,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03372807468537736,"score_gpt":0.2840178728922145,"score_spread":0.2502897982068372,"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."}}