{"id":"W4417282290","doi":"10.1109/pimrc62392.2025.11275256","title":"Large-Scale Federated Learning for Hybrid Cell-Free Massive MIMO and Visible Light Communication Systems","year":2025,"lang":"","type":"article","venue":"","topic":"Optical Wireless Communication Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Visible light communication; Scalability; Wireless; Latency (audio); MIMO; Federated learning; Channel (broadcasting); Low latency (capital markets)","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":[0.001097548,0.0004664021,0.0006076912,0.0001938099,0.0005241151,0.0007223554,0.001327402,0.0008496281,0.0007686821],"category_scores_gemma":[0.001451665,0.0001769397,0.0003071882,0.0002771095,0.0007725592,0.001043199,0.001288243,0.0007918412,0.0001294876],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007444712,"about_ca_system_score_gemma":0.0007605666,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0023361,"about_ca_topic_score_gemma":0.002781656,"domain_scores_codex":[0.9995401,0.0001416978,0.0000129827,0.00009819716,0.00009556778,0.0001114554],"domain_scores_gemma":[0.9992883,0.0003455086,0.00007938865,0.0001063219,0.0001055602,0.00007500184],"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":[0.00006106501,0.00005973076,0.0004866478,0.00002160893,0.00001850078,0.00005375331,0.00003395751,0.9673263,0.002177614,0.004841631,0.00045457,0.02446456],"study_design_scores_gemma":[0.000003432189,0.00002120543,0.00004289351,0.000001231391,0.000001687797,0.000008382221,0.000008236353,0.9975771,0.0003016136,0.001903399,0.0001287757,0.000002075561],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05408624,0.0002149094,0.9431711,0.0001878592,0.00003672716,0.00003281995,0.00002383322,0.0003237446,0.001922732],"genre_scores_gemma":[0.9615101,0.00005445104,0.03739306,0.00009150761,0.00001664911,0.00003664043,0.00002350623,0.00001407064,0.0008601396],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0023361,"threshold_uncertainty_score":0.00580442,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00818598441320561,"score_gpt":0.2308522691727165,"score_spread":0.2226662847595109,"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."}}