{"id":"W7116909563","doi":"10.1109/tcomm.2025.3647766","title":"Cooperation-Based Federated Learning and Communication Optimization Under Intermittent Device Participation in Industrial IoT","year":2025,"lang":"","type":"article","venue":"IEEE Transactions on Communications","topic":"Cooperative Communication and Network Coding","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"National Natural Science Foundation of China; National Research Foundation","keywords":"Coordinate descent; Relay; Transmission (telecommunications); Convergence (economics); Optimization problem; Convex optimization; Block (permutation group theory); Relaxation (psychology); Selection (genetic algorithm); Rate of convergence","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":[0.001485354,0.0006902855,0.0009260239,0.0003053425,0.0004138322,0.0006473936,0.001268219,0.0007029581,0.0005037594],"category_scores_gemma":[0.00306678,0.000280039,0.0003641989,0.0004723679,0.0007797442,0.001143493,0.001258257,0.0006402703,0.0001061771],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006126328,"about_ca_system_score_gemma":0.0007549655,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002799415,"about_ca_topic_score_gemma":0.002074976,"domain_scores_codex":[0.9992499,0.0002469799,0.00002893304,0.0001716067,0.0001779642,0.0001245908],"domain_scores_gemma":[0.9984536,0.0008788322,0.0002178214,0.0001622744,0.0002173156,0.00007011116],"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":[0.00006791315,0.00003700369,0.0005922623,0.00002911952,0.00001928596,0.00009307882,0.00006779744,0.970054,0.001612152,0.003813353,0.0003023563,0.02331167],"study_design_scores_gemma":[0.000003801781,0.00002693761,0.0000735038,0.000001577989,0.000003707061,0.00001133838,0.000006713247,0.9981599,0.0003051984,0.001324578,0.00008037828,0.000002280778],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07300456,0.0002793151,0.9243819,0.0001426064,0.00002090584,0.00002717576,0.00002096338,0.0002333336,0.001889182],"genre_scores_gemma":[0.9680714,0.00008943321,0.03071392,0.00005274824,0.0000126484,0.00004650468,0.0000284592,0.00001715767,0.0009676102],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002799415,"threshold_uncertainty_score":0.007855356,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08651429102178537,"score_gpt":0.3489656001974394,"score_spread":0.262451309175654,"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."}}