{"id":"W7018803375","doi":"","title":"Elastic Synchronization for Efficient and Effective Distributed Deep Learning","year":2020,"lang":"en","type":"other","venue":"York University Digital Library (York University)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Synchronization (alternating current); Convergence (economics); Deep learning; Perspective (graphical); Deep neural networks; Artificial neural network; Distributed learning","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":[0.0009418682,0.0006872886,0.0004669865,0.0003036182,0.0004578686,0.0007243079,0.001598038,0.0006232713,0.003596405],"category_scores_gemma":[0.002332509,0.0003901541,0.0003116273,0.0004950431,0.0006751717,0.001844384,0.001722874,0.001487767,0.0008600852],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009103648,"about_ca_system_score_gemma":0.001250328,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003502728,"about_ca_topic_score_gemma":0.005571673,"domain_scores_codex":[0.9995876,0.0001030444,0.00002319377,0.000106857,0.0001176629,0.00006161827],"domain_scores_gemma":[0.9993227,0.0002528273,0.00005831181,0.0002125633,0.0001042538,0.00004948619],"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":[0.000281712,0.000147663,0.0009646892,0.00007409629,0.00004060916,0.00009188697,0.00007959097,0.799531,0.008750208,0.02734139,0.006551596,0.1561455],"study_design_scores_gemma":[0.000008876914,0.00002104291,0.00004773655,0.00000204052,0.000002557927,0.00000566062,0.000006965271,0.9924609,0.00142807,0.005314596,0.0006992459,0.000002391218],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.03001528,0.0002086564,0.9632698,0.0003992731,0.00008320517,0.00004098947,0.00005966265,0.002075251,0.003847831],"genre_scores_gemma":[0.8361079,0.0002730626,0.1552061,0.0002594355,0.00007829728,0.000171443,0.0002352161,0.0003371285,0.00733129],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003596405,"threshold_uncertainty_score":0.01203114,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004399889950189504,"score_gpt":0.1504265812258882,"score_spread":0.1460266912756987,"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."}}