{"id":"W4405908308","doi":"10.1109/wf-iot62078.2024.10811460","title":"Navigating High-Degree Heterogeneity: Federated Learning in Aerial and Space Networks","year":2024,"lang":"en","type":"article","venue":"","topic":"Privacy-Preserving Technologies in Data","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Degree (music); Computer science; Space (punctuation)","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":[0.00313563,0.0004233162,0.0008629358,0.0005140489,0.0009289928,0.001121269,0.00146094,0.0009662064,0.0006840645],"category_scores_gemma":[0.008244219,0.0002131235,0.0004166251,0.0006247277,0.001224288,0.002638552,0.001920581,0.001262614,0.0001198804],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001353728,"about_ca_system_score_gemma":0.0009105144,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004238916,"about_ca_topic_score_gemma":0.00359101,"domain_scores_codex":[0.9991561,0.0002919548,0.0000343842,0.0002251077,0.0001197984,0.0001726337],"domain_scores_gemma":[0.9957508,0.002563737,0.0004059184,0.0007009833,0.0003590883,0.0002194332],"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":[0.000276746,0.000134851,0.005227337,0.00003138005,0.00003801752,0.0001252441,0.0001395212,0.9264687,0.001097292,0.008752659,0.001116915,0.05659132],"study_design_scores_gemma":[0.00001182606,0.00004146797,0.0004009965,0.000005793579,0.000005750763,0.0000379254,0.0000693471,0.9844273,0.0007789874,0.01386149,0.0003548639,0.000004216667],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4316271,0.0003990591,0.5630553,0.001350587,0.00006021105,0.00007458623,0.000148402,0.0005777227,0.002707063],"genre_scores_gemma":[0.9783553,0.00006009637,0.02078118,0.0001381561,0.00001799758,0.00002123969,0.00008319361,0.00001266656,0.0005302518],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004238916,"threshold_uncertainty_score":0.01658303,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03297008119655845,"score_gpt":0.2895379923679464,"score_spread":0.2565679111713879,"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."}}