main webpage W Topic Learning Disability arXiv (Cornell University) STSA: Federated Class-Incremental Learning via Spatial-Temporal Statistics Aggregation 2025 Federated Class-Incremental Learning (FCIL) enables Class-Incremental Learning (CIL) from distributed data. Existing FCIL methods typically integrate old knowledge preservation into local client training. However, these methods cannot avoid spatial-temporal c… Article Open Learning Disability Open Article Page

Learning Disability

Range of neurodevelopmental conditions Learning disability , learning disorder , or learning difficulty (British English) is a condition in the brain that causes difficulties comprehending or processing information and can be caused by several different factors. Given the "difficulty learning in a typical manner", this does not exclude the ability to learn in a different manner. Therefore, some people can be more accurately described as having a "learning difference", thus avoiding any misconception of being disabled with a possible lack of an ability to learn and possible negative stereotyping. Critical Symbolic Virtual Narrative Open Learning Disability Open Article Page

Exploring foci of: arXiv (Cornell University) STSA: Federated Class-Incremental Learning via Spatial-Temporal Statistics Aggregation 2025 Federated Class-Incremental Learning (FCIL) enables Class-Incremental Learning (CIL) from distributed data. Existing FCIL methods typically integrate old knowledge preservation into local client training. However, these methods cannot avoid spatial-temporal client drift caused by data heterogeneity and often incur significant computational and communication overhead, limiting practical deployment. To address these challenges simultaneously, we propose a novel approach, Spatial-Temporal Statistics Aggregation (STSA… Open Article Page

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Explore Learning Disability W Topic Learning Disability arXiv (Cornell University) STSA: Federated Class-Incremental Learning via Spatial-Temporal Statistics Aggregation 2025 Federated Class-Incremental Learning (FCIL) enables Class-Incremental Learning (CIL) from distributed data. Existing FCIL methods typically integrate old knowledge preservation into local client training. However, these methods cannot avoid spatial-temporal c… Article Critical Symbolic Virtual Narrative Open Learning Disability Open Article Page