{"id":"W4392808390","doi":"10.1080/10556788.2024.2322095","title":"Decentralized gradient tracking with local steps","year":2024,"lang":"en","type":"article","venue":"Optimization methods & software","topic":"Robotics and Sensor-Based Localization","field":"Engineering","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Tracking (education); Computer science; Psychology","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":[0.0002659902,0.0002056351,0.0001960386,0.0001410408,0.00008316756,0.0001880884,0.00008858065,0.0001045584,0.0002064179],"category_scores_gemma":[0.00006383169,0.0001797294,0.00006086499,0.0005821345,0.00004202515,0.0002077679,0.00001083712,0.0001553167,0.00001153583],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001207255,"about_ca_system_score_gemma":0.00003394401,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004835241,"about_ca_topic_score_gemma":0.000003519515,"domain_scores_codex":[0.998896,0.0001201875,0.0002617509,0.0002617034,0.0001888313,0.0002715331],"domain_scores_gemma":[0.9993973,0.0001779209,0.0000227775,0.0001955531,0.00009546132,0.0001109331],"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":[0.000008291304,0.000009587888,0.00007354576,0.0001190708,0.00004412156,0.0000149906,0.0002085177,0.9038365,0.00005120305,0.0005678511,0.0002356046,0.09483068],"study_design_scores_gemma":[0.0002375562,0.00003085665,0.00003733993,0.0001356896,0.00006239975,0.00001591671,0.00005935656,0.992247,0.001586003,0.0001214799,0.005219753,0.0002466919],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0002231413,0.001394959,0.996113,0.00004828533,0.0005367023,0.0001988076,0.00000814625,0.001258786,0.0002181725],"genre_scores_gemma":[0.01939241,0.0003329946,0.979849,0.00005500984,0.00005168776,0.00001814235,0.0001152533,0.0001050207,0.00008046069],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.09458399,"threshold_uncertainty_score":0.7329153,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01466445729778756,"score_gpt":0.2819154832200267,"score_spread":0.2672510259222392,"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."}}