{"id":"W4414197756","doi":"10.1109/cvprw67362.2025.00167","title":"Forget Less, Learn More: Contrastive-Based Federated Class Incremental Learning with a Low-Dimensional Projection Layer","year":2025,"lang":"en","type":"article","venue":"","topic":"Privacy-Preserving Technologies in Data","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Projection (relational algebra); Layer (electronics); Task (project management); Stability (learning theory); Feature (linguistics); Generator (circuit theory); Class (philosophy); Generalization","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":[0.002204088,0.001131824,0.001241736,0.0007436253,0.0006020516,0.001188602,0.004186375,0.001389805,0.002434211],"category_scores_gemma":[0.007239333,0.000450433,0.0008565448,0.000766066,0.001261804,0.003714126,0.002788268,0.002756086,0.0008771419],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001057951,"about_ca_system_score_gemma":0.001716346,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003558855,"about_ca_topic_score_gemma":0.004524233,"domain_scores_codex":[0.9989784,0.0002032611,0.00005543409,0.0003295378,0.0002911994,0.0001422877],"domain_scores_gemma":[0.9971387,0.001099624,0.0001689516,0.000940337,0.0004841913,0.0001681989],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006113693,0.0008069883,0.004700177,0.0001380839,0.0001195695,0.0002886175,0.0002589325,0.1735296,0.009472894,0.009321687,0.01289081,0.7878613],"study_design_scores_gemma":[0.00003807091,0.00009029782,0.0002808484,0.000009982829,0.0000185038,0.00007800552,0.00001757805,0.9841837,0.005244146,0.008817365,0.001206259,0.00001521126],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06338967,0.0006231807,0.923894,0.000580675,0.0001335107,0.0001801174,0.000317491,0.008722578,0.002158666],"genre_scores_gemma":[0.7404507,0.0001997063,0.252096,0.0008537555,0.0001066664,0.0002800212,0.001104223,0.0003320929,0.004576887],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004186375,"threshold_uncertainty_score":0.01165646,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01982773429864632,"score_gpt":0.2672257862098213,"score_spread":0.247398051911175,"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."}}