{"id":"W7117534739","doi":"10.1109/jiot.2025.3649673","title":"Empowering IIoT With Federated Edge Learning for Human Activity Recognition Problems","year":2025,"lang":"","type":"article","venue":"IEEE Internet of Things Journal","topic":"Context-Aware Activity Recognition Systems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Military College of Canada","funders":"Korea University of Technology and Education","keywords":"Activity recognition; Cloud computing; Software deployment; Upload; Edge computing; Edge device; Enhanced Data Rates for GSM Evolution; Data modeling","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":[0.001626611,0.0009765849,0.001084928,0.0005931993,0.0004952557,0.001086304,0.001841836,0.001622937,0.00220134],"category_scores_gemma":[0.004267697,0.0003639552,0.0006993165,0.000564732,0.0007341386,0.001561726,0.002259105,0.001633692,0.000706649],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008101244,"about_ca_system_score_gemma":0.001248436,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006024812,"about_ca_topic_score_gemma":0.005880271,"domain_scores_codex":[0.9993317,0.0001889024,0.00004197265,0.0001905246,0.0001147276,0.000132237],"domain_scores_gemma":[0.9987072,0.0006034539,0.00008426502,0.00025726,0.0002451706,0.0001026494],"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":[0.0003050497,0.000455183,0.004544463,0.00008362986,0.00007457983,0.0001546366,0.00008313407,0.7896156,0.001971837,0.003255957,0.003205058,0.1962509],"study_design_scores_gemma":[0.000008578388,0.00001929996,0.0001257128,0.000003670931,0.000003911794,0.00001146307,0.00001001502,0.996414,0.0006024588,0.002524179,0.0002740686,0.000002565462],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06948595,0.0003990161,0.9201779,0.0005484455,0.0001312332,0.0001234494,0.0001914252,0.006347638,0.002594905],"genre_scores_gemma":[0.7615141,0.0001568057,0.2338213,0.0006005578,0.00005143568,0.0001945202,0.0006807525,0.0001819362,0.00279867],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006024812,"threshold_uncertainty_score":0.01197946,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04428741282988394,"score_gpt":0.3108571238291248,"score_spread":0.2665697109992408,"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."}}