{"id":"W4402754347","doi":"10.3390/electronics13183675","title":"Securing Federated Learning: Approaches, Mechanisms and Opportunities","year":2024,"lang":"en","type":"article","venue":"Electronics","topic":"Privacy-Preserving Technologies in Data","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Cegep de Sept Iles; Université du Québec à Chicoutimi; Université du Québec à Rimouski","funders":"","keywords":"Computer science; Confidentiality; Homomorphic encryption; Context (archaeology); Encryption; Process (computing); Information privacy; Computer security; Data security; Data science","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":"codex-gemma-dda1882f352a","candidate_categories":["open_science"],"consensus_categories":[],"category_scores_codex":[0.0004210618,0.0001470494,0.0001187547,0.0001328202,0.0001863333,0.0007107597,0.004690518,0.0001073487,0.000006818739],"category_scores_gemma":[0.0008276062,0.0001429563,0.00002468456,0.0002615998,0.0000451923,0.0005594408,0.01718739,0.0005876771,0.00001364138],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009793969,"about_ca_system_score_gemma":0.0001683007,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002234459,"about_ca_topic_score_gemma":0.000005272657,"domain_scores_codex":[0.9987337,0.00005402315,0.0001335065,0.0004609734,0.0001842059,0.0004336204],"domain_scores_gemma":[0.9984233,0.00008148952,0.00002924424,0.001398196,0.00001752755,0.00005020764],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000001739545,0.00001261901,0.000003453386,0.00005828609,0.00004697643,0.00007170017,0.0001317999,0.00001880568,0.0008032268,0.7293409,0.01474364,0.2547668],"study_design_scores_gemma":[0.00004873742,0.00008829629,0.000002220129,0.00002511246,0.000004775941,0.00007145981,0.00004428877,0.5318127,0.005583283,0.3862325,0.07592763,0.0001590459],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.004448029,0.03205606,0.9310554,0.02554126,0.0002334735,0.0001350007,0.000002514025,0.003740739,0.002787518],"genre_scores_gemma":[0.8627139,0.006529123,0.1294629,0.0001830758,0.00004928628,0.00003872162,0.00002778194,0.00004529459,0.0009500069],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8582658,"threshold_uncertainty_score":0.9907614,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06667399238043395,"score_gpt":0.2529768057531479,"score_spread":0.186302813372714,"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."}}