{"id":"W4407692363","doi":"10.1109/mecom61498.2024.10881169","title":"Towards On-Demand Model and Client Deployment in Federated Learning with Reinforcement Learning","year":2024,"lang":"en","type":"article","venue":"","topic":"Privacy-Preserving Technologies in Data","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Reinforcement learning; Software deployment; Computer science; On demand; Artificial intelligence; Multimedia; Software 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":[0.002554026,0.0007950963,0.001064025,0.0003141297,0.0004666265,0.001208934,0.002064094,0.001329104,0.001215103],"category_scores_gemma":[0.006553108,0.0004258984,0.0004801167,0.0003837689,0.00104116,0.001773182,0.002139783,0.00172832,0.0003425463],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009336544,"about_ca_system_score_gemma":0.001602763,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004592198,"about_ca_topic_score_gemma":0.003712766,"domain_scores_codex":[0.9987896,0.0004744277,0.00005229009,0.0002908569,0.0001952801,0.0001975959],"domain_scores_gemma":[0.9968091,0.001685167,0.0002978999,0.0004812915,0.000458344,0.000268215],"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":[0.000124999,0.0001643783,0.001257177,0.0000410838,0.00002810774,0.00009307316,0.0001111166,0.9556063,0.001349527,0.007193475,0.0006902677,0.03334052],"study_design_scores_gemma":[0.000005893184,0.00001926302,0.00003828025,0.000002135677,0.000002249926,0.000008795183,0.000008362908,0.9967073,0.0002603201,0.002821645,0.0001234676,0.000002236446],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03315002,0.00008320152,0.9647775,0.0002764277,0.00002378829,0.00005240638,0.0000267247,0.0005708691,0.001039143],"genre_scores_gemma":[0.8903341,0.00006906236,0.1076288,0.0001944746,0.00002670976,0.0001056036,0.00007145198,0.00006557847,0.001504147],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004592198,"threshold_uncertainty_score":0.01350719,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02812194177862481,"score_gpt":0.2723446450839875,"score_spread":0.2442227033053627,"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."}}