{"id":"W2106548031","doi":"10.1109/icassp.2008.4518102","title":"Distributed average consensus with increased convergence rate","year":2008,"lang":"en","type":"article","venue":"Proceedings of the ... IEEE International Conference on Acoustics, Speech, and Signal Processing","topic":"Distributed Control Multi-Agent Systems","field":"Computer Science","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Convergence (economics); Rate of convergence; Context (archaeology); Extrapolation; Computer science; Mathematical optimization; Consensus; Matrix (chemical analysis); Algorithm; Iterative method; Mathematics; Multi-agent system; Artificial intelligence; Statistics","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":[0.003365601,0.0006934028,0.0013569,0.0008584674,0.0005159709,0.000853349,0.001169912,0.001280467,0.001586016],"category_scores_gemma":[0.01410654,0.0003344217,0.0005269827,0.0009065688,0.0007460972,0.001780473,0.001996086,0.001309338,0.000657336],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005880778,"about_ca_system_score_gemma":0.0007740119,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008343116,"about_ca_topic_score_gemma":0.0006209665,"domain_scores_codex":[0.9980485,0.0007285055,0.00009376781,0.0003434741,0.0006414299,0.0001442705],"domain_scores_gemma":[0.9915218,0.004449686,0.0005083836,0.001446485,0.001909839,0.0001637817],"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":[0.0002405902,0.00007261409,0.0005733182,0.0001325855,0.00004899386,0.0001244939,0.0001835665,0.8645759,0.009080268,0.03435771,0.001819956,0.08878995],"study_design_scores_gemma":[0.0000251969,0.00004515611,0.00008136026,0.000005302537,0.000007329403,0.00002965036,0.00001104081,0.9913927,0.001535192,0.006264029,0.0005970013,0.000006015534],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04428546,0.0003491569,0.9489012,0.0002623936,0.00008800405,0.00004362362,0.00002680534,0.0006975713,0.005345821],"genre_scores_gemma":[0.8225362,0.000250014,0.1717955,0.000116325,0.00008916478,0.0002145993,0.00008286474,0.0001035525,0.004811775],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003365601,"threshold_uncertainty_score":0.01779926,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03456428446120047,"score_gpt":0.2500347094226115,"score_spread":0.2154704249614111,"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."}}