{"id":"W4311925361","doi":"10.1109/nfv-sdn56302.2022.9974900","title":"A Vision For Hierarchical Federated Learning in Dynamic Service Chaining","year":2022,"lang":"en","type":"article","venue":"","topic":"Internet Traffic Analysis and Secure E-voting","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Computer science; Scalability; Chaining; Federated learning; Artificial intelligence; Deep learning; Data center; Artificial neural network; Machine learning; Distributed computing; Computer security; Computer network; Database","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":[0.0007174095,0.00009029286,0.0001504674,0.0001567759,0.0003791722,0.0001493949,0.0004358378,0.00002583599,0.00005990825],"category_scores_gemma":[0.00003197732,0.00008555805,0.00006508452,0.0006065335,0.000005682018,0.0001337934,0.0003911717,0.0003518083,0.000006855968],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008053384,"about_ca_system_score_gemma":0.00004738945,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003330585,"about_ca_topic_score_gemma":0.0004117971,"domain_scores_codex":[0.9987902,0.0001385796,0.0002361572,0.0003519176,0.0002145011,0.0002686118],"domain_scores_gemma":[0.9996342,0.0001472524,0.00005722643,0.00007736372,0.00004553557,0.00003840667],"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":[0.00005054316,0.0001877005,0.0001929918,0.00002655243,0.00003947018,0.00003946298,0.008727851,0.5803202,0.0007959219,0.3298865,0.000268369,0.07946445],"study_design_scores_gemma":[0.0003123676,0.0001432169,0.0001487573,0.00000883235,0.000001955221,0.000008157113,0.0005077095,0.99697,0.00000638265,0.00004811579,0.001732746,0.000111753],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1893898,0.00001967962,0.8072641,0.002271561,0.0001088787,0.0001091566,3.653954e-7,0.0001565383,0.0006800035],"genre_scores_gemma":[0.9900584,5.377507e-7,0.008158408,0.0009444093,0.00001460902,0.00003452173,0.00001257129,0.000008241364,0.0007682717],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8006687,"threshold_uncertainty_score":0.3488956,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01058033463074268,"score_gpt":0.2599756581920744,"score_spread":0.2493953235613317,"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."}}