{"id":"W4401537852","doi":"10.1109/infocomwkshps61880.2024.10620706","title":"Designing Robust 6G Networks with Bimodal Distribution for Decentralized Federated Learning","year":2024,"lang":"en","type":"article","venue":"","topic":"Cooperative Communication and Network Coding","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland; Queen's University","funders":"","keywords":"Computer science; Distribution (mathematics); Distributed computing; Mathematics","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":[0.0008599271,0.0004249049,0.0004410542,0.0004059356,0.0003756967,0.0006270814,0.0008965656,0.0006647757,0.001250724],"category_scores_gemma":[0.002617259,0.0002247431,0.00028209,0.0003277005,0.0006387249,0.0009777588,0.0009281372,0.0006660545,0.0003234201],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007803221,"about_ca_system_score_gemma":0.0005890791,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009106784,"about_ca_topic_score_gemma":0.001428974,"domain_scores_codex":[0.9995269,0.0001525579,0.00001666949,0.0001054137,0.0001036989,0.00009485574],"domain_scores_gemma":[0.9991617,0.0002932434,0.0001416274,0.000125327,0.0001945948,0.00008345934],"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":[0.0001439964,0.0000730571,0.001259295,0.00006081628,0.00003137632,0.0001744095,0.00008195292,0.9235391,0.01371657,0.02295431,0.001269891,0.03669536],"study_design_scores_gemma":[0.000012264,0.00006781294,0.000177973,0.000005834765,0.000007303083,0.00005836856,0.00002577301,0.9880927,0.001884836,0.008929448,0.0007310031,0.000006499419],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06485847,0.0001041106,0.9318424,0.0002561551,0.00003722067,0.00005642839,0.00004829836,0.0003778816,0.002418916],"genre_scores_gemma":[0.9625463,0.00006411792,0.0360362,0.00007474999,0.0000147187,0.00005882709,0.0000338075,0.00001796556,0.001153429],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001250724,"threshold_uncertainty_score":0.005661726,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03630327337538183,"score_gpt":0.2697545562353211,"score_spread":0.2334512828599392,"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."}}