{"id":"W4253064269","doi":"10.36227/techrxiv.14632551","title":"Towards Federated Learning-Enabled Visible Light Communication in 6G Systems","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Optical Wireless Communication Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"Khalifa University of Science, Technology and Research","keywords":"Visible light communication; Computer science; Overhead (engineering); Data transmission; Computer network; Light-emitting diode; Engineering; Electrical engineering","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":[0.001530099,0.0005059922,0.0007087863,0.0004333998,0.0004446649,0.00190982,0.001265601,0.001490915,0.001594287],"category_scores_gemma":[0.002589297,0.0002470027,0.0004727812,0.0006251479,0.0009475735,0.002060529,0.00196928,0.002411421,0.0006557504],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008090544,"about_ca_system_score_gemma":0.0009537194,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001421739,"about_ca_topic_score_gemma":0.001337291,"domain_scores_codex":[0.998987,0.000369047,0.0000442642,0.0001731451,0.0002685985,0.0001579277],"domain_scores_gemma":[0.9991446,0.0003489692,0.00007489071,0.0001704361,0.0001982667,0.00006284708],"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":[0.0003586428,0.0002563824,0.00134121,0.0002746373,0.00007497922,0.0004159782,0.000344621,0.5335985,0.01360788,0.1380304,0.006892092,0.3048047],"study_design_scores_gemma":[0.0000125993,0.00007804354,0.0001550179,0.00002936463,0.000007378651,0.00006679328,0.00004976609,0.9551087,0.002675969,0.03743817,0.004367567,0.00001056661],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02045263,0.001059935,0.970713,0.001020921,0.0001259509,0.0000521123,0.00005086091,0.0006295248,0.005895042],"genre_scores_gemma":[0.7981899,0.001244817,0.1940311,0.0006999118,0.0001851011,0.0001081833,0.0001505546,0.00005459787,0.005335949],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00190982,"threshold_uncertainty_score":0.008092046,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01690175157743014,"score_gpt":0.2434510228481823,"score_spread":0.2265492712707521,"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."}}