{"id":"W4409123220","doi":"10.1016/j.comcom.2025.108152","title":"A hybrid swarm intelligence approach for optimizing Multimodal Large Language Models deployment in edge-cloud-based Federated Learning environments","year":2025,"lang":"en","type":"article","venue":"Computer Communications","topic":"Recommender Systems and Techniques","field":"Computer Science","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada; Khalifa University of Science, Technology and Research","keywords":"Computer science; Software deployment; Cloud computing; Enhanced Data Rates for GSM Evolution; Artificial intelligence; Distributed computing; Human–computer interaction; Machine learning; Software engineering; Operating system","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0006023601,0.0002096054,0.0002756034,0.0002628703,0.0004530551,0.0002713547,0.002268333,0.00006981802,9.070804e-7],"category_scores_gemma":[0.00001406105,0.0002213895,0.0001052878,0.0003103836,0.00004376098,0.0003013169,0.001367275,0.0003532736,0.000003065547],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001782594,"about_ca_system_score_gemma":0.00007494474,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001053881,"about_ca_topic_score_gemma":0.00001893963,"domain_scores_codex":[0.9982516,0.0003176874,0.0004801865,0.0004612041,0.000131776,0.0003575785],"domain_scores_gemma":[0.9978982,0.0002991936,0.000135378,0.001560154,0.00004514806,0.00006195936],"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":[0.0000306223,0.003591785,0.0008913381,0.0002368999,0.0002023848,0.000009469976,0.006614386,0.5507227,0.000522806,0.1453158,0.002665352,0.2891964],"study_design_scores_gemma":[0.0004415254,0.00004307862,0.00004595401,0.00009776225,0.000005854874,0.000002094396,0.00009715054,0.9922903,0.002179021,0.001055175,0.003541006,0.0002010498],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.000554622,0.0006180484,0.9955369,0.0008543017,0.0001331151,0.000889339,0.000005682257,0.0003206143,0.001087328],"genre_scores_gemma":[0.503961,0.00003683247,0.495176,0.0003216206,0.00001323022,0.0003643438,0.00005294208,0.0000108662,0.00006319952],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.5034063,"threshold_uncertainty_score":0.9028,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04005470865340984,"score_gpt":0.2956529841154792,"score_spread":0.2555982754620694,"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."}}