{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001052745,0.0006392855,0.001107201,0.0003552745,0.0006293425,0.0008297738,0.001588279,0.0009399067,0.002048949],"category_scores_gemma":[0.005117957,0.000450319,0.0004562576,0.0005984349,0.001029641,0.001627248,0.001893893,0.00130302,0.0005636318],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007440211,"about_ca_system_score_gemma":0.001396537,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002991109,"about_ca_topic_score_gemma":0.003397581,"domain_scores_codex":[0.9993278,0.0001605598,0.00003467008,0.0002215224,0.0001815263,0.00007394851],"domain_scores_gemma":[0.997947,0.0008549905,0.0002520219,0.0005324454,0.0003204012,0.00009318846],"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":[0.000206414,0.00006455066,0.0009154209,0.00008401019,0.00004919399,0.0001010821,0.00007987128,0.8845964,0.006441992,0.03314845,0.003199972,0.07111266],"study_design_scores_gemma":[0.00001908405,0.00002760419,0.0000763217,0.000003458178,0.000003924419,0.00001929586,0.000004776215,0.9909143,0.001387671,0.007023224,0.0005153774,0.000004930136],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01426886,0.00009562005,0.9829999,0.000135232,0.00003208734,0.00003554208,0.00004276735,0.0006703236,0.00171959],"genre_scores_gemma":[0.7795758,0.0001172815,0.2151025,0.0001754169,0.00005648792,0.0002476072,0.0001955881,0.0001802425,0.004349105],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002991109,"threshold_uncertainty_score":0.006854415,"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."}}