{"id":"W4406729011","doi":"10.1109/ton.2025.3530460","title":"Exploring Temporal Similarity for Joint Computation and Communication in Online Distributed Optimization","year":2025,"lang":"en","type":"article","venue":"IEEE Transactions on Networking","topic":"Distributed Control Multi-Agent Systems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ericsson (Canada); Ontario Tech University; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Joint (building); Computer science; Computation; Similarity (geometry); Artificial intelligence; Distributed computing; Algorithm; Engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002377291,0.0009287834,0.001238681,0.0004443594,0.0006941245,0.001283816,0.001755947,0.001060905,0.001372219],"category_scores_gemma":[0.008559079,0.0004739318,0.0004798254,0.0008050002,0.001503986,0.002456525,0.002179527,0.00183084,0.0001926473],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001259377,"about_ca_system_score_gemma":0.00202132,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0032974,"about_ca_topic_score_gemma":0.002590793,"domain_scores_codex":[0.9986382,0.000448041,0.00006840647,0.0003036493,0.000357309,0.0001843575],"domain_scores_gemma":[0.9954703,0.003228756,0.0004190616,0.0003288739,0.0003612123,0.0001918091],"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":[0.0001525122,0.00008700268,0.0004943963,0.00005501148,0.00002756481,0.00005678231,0.00008281665,0.9481522,0.001674947,0.02492188,0.0005556879,0.02373923],"study_design_scores_gemma":[0.00000680636,0.00001992325,0.0000246454,0.000001247199,0.000001853241,0.000003871769,0.000004665344,0.9952673,0.0002237662,0.004371992,0.00007207529,0.000001799863],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03001401,0.0002419424,0.9677811,0.0003437419,0.00004226547,0.00003111608,0.0000145426,0.0001813447,0.001349967],"genre_scores_gemma":[0.8966966,0.0002008318,0.1012505,0.0001618893,0.000071956,0.0001132273,0.00004242368,0.0000816762,0.001380902],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0032974,"threshold_uncertainty_score":0.01257247,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1065553545176779,"score_gpt":0.2887770755511856,"score_spread":0.1822217210335076,"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."}}