{"id":"W4312588618","doi":"10.1109/comst.2022.3218527","title":"Distributed Artificial Intelligence Empowered by End-Edge-Cloud Computing: A Survey","year":2022,"lang":"en","type":"article","venue":"IEEE Communications Surveys & Tutorials","topic":"Privacy-Preserving Technologies in Data","field":"Computer Science","cited_by":362,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo; University of Calgary","funders":"National Key Research and Development Program of China; Higher Education Discipline Innovation Project; Natural Science Foundation of Hunan Province; Central South University; Tsinghua University; National Natural Science Foundation of China","keywords":"Cloud computing; Computer science; Edge computing; Data science; Distributed computing; Utility computing; Cloud computing security; Artificial intelligence; Operating system","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":[0.001133378,0.0005406136,0.0006058606,0.001726548,0.000545858,0.00236646,0.001144471,0.0009195607,0.002000593],"category_scores_gemma":[0.001691648,0.0004221997,0.0004912871,0.003943123,0.0007370948,0.004420739,0.001216327,0.001920791,0.0008025828],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007692655,"about_ca_system_score_gemma":0.001135352,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001010453,"about_ca_topic_score_gemma":0.0009050709,"domain_scores_codex":[0.9991517,0.000186076,0.00006904636,0.0001339146,0.0003675327,0.00009160706],"domain_scores_gemma":[0.9988474,0.0006390041,0.00006692488,0.0001468545,0.0002194265,0.00008042773],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007169099,0.0001365045,0.002155962,0.003549806,0.00008476274,0.0001895096,0.000351196,0.007003808,0.003186885,0.160586,0.01745391,0.80523],"study_design_scores_gemma":[0.00002090814,0.0002250518,0.002943535,0.001817908,0.00009926158,0.001456072,0.0006887422,0.04563038,0.005341645,0.1097382,0.8319513,0.0000869728],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.01395646,0.6876779,0.2189925,0.006404399,0.001178193,0.0001926831,0.0001785925,0.0006423143,0.07077709],"genre_scores_gemma":[0.1424932,0.7658283,0.07975519,0.001938079,0.002350826,0.000186292,0.0004472183,0.000128612,0.006872267],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.00236646,"threshold_uncertainty_score":0.006692648,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.118083554915589,"score_gpt":0.3433804652334667,"score_spread":0.2252969103178777,"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."}}