{"id":"W3123971085","doi":"10.1109/globecom42002.2020.9322584","title":"Communication-Efficient Federated Learning in UAV-enabled IoV: A Joint Auction-Coalition Approach","year":2020,"lang":"en","type":"article","venue":"","topic":"Privacy-Preserving Technologies in Data","field":"Computer Science","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia Hospital","funders":"National Science Foundation, United Arab Emirates","keywords":"Computer science; Scheme (mathematics); Auction algorithm; Distributed computing; Joint (building); Partition (number theory); Wireless; Process (computing); Computer network; Internet of Things; Server; Computer security; Auction theory; Common value auction; Telecommunications; Operating system; Engineering","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":[0.002758467,0.0006050986,0.001394855,0.0005650505,0.0007282051,0.001550274,0.002174797,0.001098446,0.001365822],"category_scores_gemma":[0.004423573,0.0003558221,0.0007995013,0.0007861041,0.0009600898,0.001796946,0.002200704,0.00105679,0.0001949367],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001115285,"about_ca_system_score_gemma":0.001571621,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00290791,"about_ca_topic_score_gemma":0.002247325,"domain_scores_codex":[0.998772,0.0005050543,0.00005128015,0.0002131117,0.0001903661,0.0002681965],"domain_scores_gemma":[0.997777,0.001156081,0.0002767017,0.0002624033,0.0003111786,0.0002165873],"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":[0.0001374291,0.0001068323,0.0006867597,0.00004731023,0.00005520855,0.000157943,0.00009474512,0.9424589,0.001342901,0.02595661,0.0006694659,0.02828595],"study_design_scores_gemma":[0.000007294578,0.00002025864,0.00004881129,0.000002456801,0.000004281678,0.00001937903,0.00001628425,0.9925573,0.0002671471,0.006867621,0.0001858655,0.000003228585],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03591726,0.0001689533,0.9611258,0.0001844882,0.00002643859,0.00005669273,0.00002953035,0.0001540251,0.002336791],"genre_scores_gemma":[0.932058,0.00009675614,0.06564249,0.00006582257,0.00001802412,0.00006784332,0.00005109521,0.00002990453,0.001970082],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00290791,"threshold_uncertainty_score":0.01458836,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05521840461940125,"score_gpt":0.2602189826264821,"score_spread":0.2050005780070809,"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."}}