{"id":"W4401597494","doi":"10.1109/icasspw62465.2024.10627018","title":"Towards Collaborative Multimodal Federated Learning for Human Activity Recognition in Smart Workplace Environments","year":2024,"lang":"en","type":"article","venue":"","topic":"Context-Aware Activity Recognition Systems","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Huawei Technologies (Canada); University of Toronto","funders":"","keywords":"Computer science; Activity recognition; Human–computer interaction; Knowledge management; Collaborative learning; Artificial intelligence","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":[0.0006632322,0.0002165405,0.000262635,0.0002525349,0.0002423542,0.0006620837,0.0002167407,0.0001347077,0.00007494946],"category_scores_gemma":[0.0001056024,0.0002201136,0.00008018469,0.0007107952,0.00003273445,0.001338694,0.0001294488,0.000315945,0.000191477],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003143768,"about_ca_system_score_gemma":0.0001324889,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003169597,"about_ca_topic_score_gemma":0.0007820876,"domain_scores_codex":[0.9981067,0.0003313961,0.0002772087,0.0006898412,0.0002656853,0.0003291763],"domain_scores_gemma":[0.9991716,0.0004160162,0.00008280767,0.0001727866,0.00007206071,0.00008473579],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00007081447,0.0002619151,0.0009875002,0.00008230793,0.00009366839,0.0000353243,0.001990068,0.0001004324,0.03369666,0.0003571066,0.0006040276,0.9617202],"study_design_scores_gemma":[0.004460064,0.0009831141,0.0185313,0.0008690683,0.00004045872,0.00004722138,0.001288594,0.7834766,0.1400454,0.003885855,0.04456581,0.001806506],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2540917,0.0000520249,0.7389342,0.0006549937,0.0004679277,0.000953977,0.00001521975,0.0003866568,0.004443354],"genre_scores_gemma":[0.9934699,0.000006560497,0.003121539,0.00006079857,0.00006572642,0.0003469219,0.00003440473,0.00002218709,0.002871942],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9599137,"threshold_uncertainty_score":0.897597,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03536492444722671,"score_gpt":0.2945081338223574,"score_spread":0.2591432093751307,"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."}}