{"id":"W4415905037","doi":"10.34028/iajit/22/6/1","title":"Strategic Optimization of Convergence and Energy in Federated Learning Systems","year":2025,"lang":"en","type":"article","venue":"The International Arab Journal of Information Technology","topic":"Privacy-Preserving Technologies in Data","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Convergence (economics); Raw data; Carbon footprint; Testbed; Efficient energy use; Information exchange; MNIST database; Process (computing); Green computing","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["open_science"],"consensus_categories":[],"category_scores_codex":[0.0005629948,0.00006815542,0.000138384,0.001000562,0.0000516092,0.0001049107,0.005635858,0.0001008687,0.000003840866],"category_scores_gemma":[0.003037534,0.00005168839,0.0000179828,0.0006949632,0.0001042916,0.0011582,0.003863647,0.000279258,9.057522e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007399609,"about_ca_system_score_gemma":0.0001009013,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003423697,"about_ca_topic_score_gemma":0.000003199668,"domain_scores_codex":[0.998958,0.00003823587,0.0006467613,0.00006276833,0.0002050571,0.00008921401],"domain_scores_gemma":[0.9983531,0.0001111309,0.0006632163,0.0004306863,0.0004324551,0.000009382363],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004655079,0.00003494147,0.002709356,0.00003555984,0.0001012701,0.000006017983,0.0001142989,0.1370712,0.0007502907,0.8293316,0.00201621,0.02778267],"study_design_scores_gemma":[0.0003179359,0.00005642686,0.0001427844,0.0001206222,0.000002649365,0.00009730391,0.000512318,0.9012948,0.003198177,0.09346461,0.0007456369,0.00004674122],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03553933,0.0002897492,0.9424887,0.01936213,0.0005282164,0.00004404677,0.000001661244,0.00007327573,0.001672906],"genre_scores_gemma":[0.9794384,0.0004963601,0.01995301,0.00007786245,0.000005285153,0.000003815286,0.000002630982,0.000001380705,0.00002124831],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9438991,"threshold_uncertainty_score":0.9997441,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0123272465332334,"score_gpt":0.2427627449560217,"score_spread":0.2304354984227883,"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."}}