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https://www.unihiker.com/ Learning Devices for Exploring: AI, IoT, and Python Coding UNIHIKER is a compact and feature-rich single-board computer (SBC) with a touchscreen, sensors, and IoT capabilities. Experience fast programming, control... learning devices exploring ai iot python coding https://www.atlantis-press.com/proceedings/aisteel-18/55909128 Development of Learning Devices Using Model Problem Based Learning to Improve Problem Solving... This study aims to: Describe the learning device with the model problem based learning that meets the criteria of valid, practical, and effective; Describe the... learning devices problem based to improve development using https://deepai.org/publication/anycostfl-efficient-on-demand-federated-learning-over-heterogeneous-edge-devices AnycostFL: Efficient On-Demand Federated Learning over Heterogeneous Edge Devices | DeepAI Jan 8, 2023 - 01/08/23 - In this work, we investigate the challenging problem of on-demand federated learning (FL) over heterogeneous edge devices with div... on demand federated learning edge devices efficient https://dergipark.org.tr/en/pub/saucis/article/1681525 Predictive Machine Learning Modeling of Performance Issues in Virtual Reality Devices Using... Dec 29, 2025 - Sakarya University Journal of Computer and Information Sciences | Volume: 8 Issue: 4 predictive machine learning virtual reality devices performance issues https://arxiv.org/abs/2508.02230 [2508.02230] FedAPTA: Federated Multi-task Learning for Heterogeneous Devices with Adaptive... Abstract page for arXiv paper 2508.02230: FedAPTA: Federated Multi-task Learning for Heterogeneous Devices with Adaptive Layer-wise Pruning and Task-aware... multi task learning