{"id":"W4408100457","doi":"10.1109/ants63515.2024.10898644","title":"Adaptive Graph-Based Federated Multi-Agent DRL for 6G UAV Swarm Efficiency","year":2024,"lang":"en","type":"article","venue":"","topic":"Cooperative Communication and Network Coding","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"National Science and Technology Council","keywords":"Computer science; Swarm behaviour; Multi-agent system; Distributed computing; Computer network; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007459821,0.0005701478,0.0005938066,0.0002539621,0.0003453691,0.0005136839,0.0009504325,0.000587345,0.001091366],"category_scores_gemma":[0.00155407,0.0002133326,0.0003028879,0.0002056379,0.0005531476,0.0007636822,0.0008937739,0.000769642,0.00018681],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007706037,"about_ca_system_score_gemma":0.0007869232,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004843598,"about_ca_topic_score_gemma":0.006349494,"domain_scores_codex":[0.9997512,0.00007029995,0.000009548532,0.00006218545,0.00005405724,0.00005274792],"domain_scores_gemma":[0.9994633,0.000238986,0.00008790336,0.00004713585,0.0001116005,0.0000511089],"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":[0.00004065672,0.000024738,0.000353048,0.0000188264,0.00001293543,0.00003874278,0.00002818836,0.9810908,0.001650976,0.003042396,0.0004858822,0.01321272],"study_design_scores_gemma":[0.000002846198,0.000009680955,0.0000307223,8.723835e-7,0.000001460192,0.000003484958,0.000003948635,0.9988183,0.000157791,0.0008915963,0.00007800139,0.000001112881],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04943615,0.0001798864,0.946652,0.0003004313,0.00005083843,0.00003082493,0.00004166859,0.000440196,0.002868077],"genre_scores_gemma":[0.9614078,0.00005265226,0.03682099,0.0001106824,0.00001339276,0.00003728217,0.00004129296,0.00003309551,0.001482842],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004843598,"threshold_uncertainty_score":0.009630799,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08281823632621925,"score_gpt":0.3185871256975855,"score_spread":0.2357688893713663,"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."}}