{"id":"W7084060060","doi":"10.1109/infocomwkshps65812.2025.11152880","title":"Semi-decentralized Federated Time Series Prediction with Client Availability Budgets","year":2025,"lang":"en","type":"article","venue":"","topic":"Enzyme Catalysis and Immobilization","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Set (abstract data type); Probabilistic logic; Selection (genetic algorithm); Federated learning; The Internet; Convergence (economics); Network congestion; Server; Host (biology)","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":[0.0001114004,0.0001126768,0.0001180589,0.00002508932,0.00009988408,0.00004456684,0.00005980512,0.00009731285,0.0001752383],"category_scores_gemma":[0.00004937451,0.00008597416,0.00004172138,0.0001521494,0.00005900284,0.000007755283,0.00004189011,0.00003690816,0.00001871483],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002064302,"about_ca_system_score_gemma":0.00007213028,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009240299,"about_ca_topic_score_gemma":0.00004179884,"domain_scores_codex":[0.9992462,0.00004484774,0.0001798867,0.0003111225,0.00007678855,0.0001412002],"domain_scores_gemma":[0.9995194,0.000004218452,0.00003960892,0.0002391255,0.0001602078,0.00003746062],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000376553,0.00014159,0.0135845,0.00002807984,0.0001232769,4.77507e-7,0.00001650299,0.0001909086,0.953361,0.0001725715,0.0315571,0.0004474951],"study_design_scores_gemma":[0.0006666103,0.0002406448,0.006626607,0.00001556362,0.0000392263,0.000003238359,0.00004500311,0.0004532962,0.919758,0.00002292731,0.07200746,0.0001214225],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9718422,0.0003429002,0.01186545,0.0003476261,0.0001061004,0.0003420225,0.00002547244,0.00006398543,0.0150642],"genre_scores_gemma":[0.9713782,0.0001753162,0.0003858451,0.0003191604,0.0000313854,0.00003370726,0.001181233,0.00001084594,0.02648428],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04045036,"threshold_uncertainty_score":0.3505924,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003608066464969034,"score_gpt":0.2147730292318164,"score_spread":0.2111649627668474,"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."}}