Federated learning can screen out poisoned clients before the first round: each client sends a single wavelet scattering summary, and a denoising autoencoder trained only on clean data scores them, keeping training alive when 90% of clients are malicious.
GROB is a multi-agent architecture that performs controlled, read-only collection of public Internet traces when privileged telemetry is unavailable and preserves observations for later resolution; in a frozen September 2026 corpus, Census identifiers captured on 9 September were later resolved by public revision records to specific read-only Census requests from 16–17 June, while other traces showed links of varying strength and public traces alone did not establish organizational attribution.
Following PRISMA, this review searched Scopus, Web of Science, and PubMed for 2015–2026 studies and included 86 Q1 journal articles, systematically mapping MRI-based machine learning and deep learning studies for autism spectrum disorder (ASD) classification across datasets, preprocessing pipelines, brain atlases, model architectures, and validation strategies; it finds fMRI is the most used modality with graph neural networks and transformers as dominant trends, and shows reported accuracy depends heavily on evaluation setup—single-site studies reach 87.4%–99.39%, the full ABIDE cohort sits around 70%–75%, and the strictest leave-one-site-out testing lands near 67%.
Using a 2023 workshop with 49 students as a motivating example, this paper critically reflects on the energy costs of using genAI in design education and develops a set of five alternative stances, with related actions, to support the conscious use of genAI in design education.
You’re all caught up