{"id":"W4403517682","doi":"10.3233/faia240773","title":"FilFL: Client Filtering for Optimized Client Participation in Federated Learning","year":2024,"lang":"en","type":"book-chapter","venue":"Frontiers in artificial intelligence and applications","topic":"Privacy-Preserving Technologies in Data","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kootenay Association for Science & Technology","funders":"","keywords":"Computer science; Federated learning; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000438238,0.0002641843,0.0003486841,0.0004923994,0.0001748453,0.0003482168,0.003030829,0.000295847,0.00001125587],"category_scores_gemma":[0.0007518113,0.0002910597,0.00007052391,0.0002821161,0.0001545225,0.0002414283,0.005228839,0.0005804638,0.00003894655],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001775813,"about_ca_system_score_gemma":0.00005457151,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000165939,"about_ca_topic_score_gemma":0.00004449072,"domain_scores_codex":[0.9978555,0.00001875054,0.0007240123,0.0008755027,0.0001702834,0.0003559284],"domain_scores_gemma":[0.998107,0.0001548455,0.0001787771,0.001429033,0.00007068514,0.00005970681],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00002862991,0.00007426866,0.00003326643,0.0001060681,0.0000321908,0.000007518389,0.0002189248,0.005353083,0.00006215533,0.4353816,0.01119975,0.5475026],"study_design_scores_gemma":[0.00002436176,0.00003118901,0.000002386266,0.0001381953,0.000009410547,7.415805e-7,0.0000769057,0.429266,0.0006671914,0.5311365,0.03844848,0.0001986449],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0000481238,0.0008206008,0.9880095,0.00230833,0.0004746957,0.001160697,0.00004720512,0.000303359,0.00682752],"genre_scores_gemma":[0.03141606,0.004266693,0.9448836,0.0001828403,0.0002989149,0.00486768,0.000541576,0.0001322353,0.01341036],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.5473039,"threshold_uncertainty_score":0.9999542,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0673835447936601,"score_gpt":0.3239172474994097,"score_spread":0.2565337027057496,"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."}}