{"id":"W4295122507","doi":"10.3390/app12188980","title":"Secure Smart Communication Efficiency in Federated Learning: Achievements and Challenges","year":2022,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Privacy-Preserving Technologies in Data","field":"Computer Science","cited_by":59,"is_retracted":false,"has_abstract":true,"ca_institutions":"Brandon University","funders":"","keywords":"Bottleneck; Computer science; Federated learning; Bridge (graph theory); Computer security; 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":[0.007460774,0.000799162,0.001623707,0.001037818,0.00120302,0.00639959,0.003188792,0.002675832,0.002160881],"category_scores_gemma":[0.01772941,0.0004639744,0.001218641,0.002510847,0.002703572,0.0143313,0.00378649,0.003551761,0.0009308946],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002275457,"about_ca_system_score_gemma":0.002261739,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007991551,"about_ca_topic_score_gemma":0.0003369694,"domain_scores_codex":[0.9914944,0.003782244,0.0005816148,0.001383965,0.002087076,0.0006706102],"domain_scores_gemma":[0.9797391,0.01301465,0.001073251,0.004393011,0.0015364,0.00024359],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002040499,0.0001293466,0.001230455,0.001480698,0.0001357294,0.0001798829,0.0003113045,0.07862646,0.00155479,0.5674027,0.006693982,0.3420507],"study_design_scores_gemma":[0.00002448639,0.0001662324,0.0006401791,0.0009068293,0.00009923278,0.0007320268,0.0006352812,0.3600168,0.006838213,0.5752034,0.05465592,0.00008144501],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.03055172,0.0644018,0.8800497,0.008557306,0.0006573505,0.0001192287,0.0002182776,0.0005764171,0.01486821],"genre_scores_gemma":[0.816795,0.04925306,0.124753,0.001857833,0.001120674,0.0002255626,0.0004164198,0.0002327289,0.005345743],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.007460774,"threshold_uncertainty_score":0.03945678,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05008998550569697,"score_gpt":0.2715080091136483,"score_spread":0.2214180236079513,"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."}}