Results 91 to 100 of about 129,870 (304)
GraphFL: A Federated Learning Framework for Semi-Supervised Node Classification on Graphs [PDF]
, 2020 Binghui Wang, Ang Li, Hai Li, Yiran Chen
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Advanced Intelligent Discovery, EarlyView.This article outlines how artificial intelligence could reshape the design of next‐generation transistors as traditional scaling reaches its limits. It discusses emerging roles of machine learning across materials selection, device modeling, and fabrication processes, and highlights hierarchical reinforcement learning as a promising framework for ...
Shoubhanik Nath +4 more
wiley +1 more source
When Biology Meets Medicine: A Perspective on Foundation Models
Advanced Intelligent Discovery, EarlyView.Artificial intelligence, and foundation models in particular, are transforming life sciences and medicine. This perspective reviews biological and medical foundation models across scales, highlighting key challenges in data availability, model evaluation, and architectural design.
Kunying Niu +3 more
wiley +1 more source
Local Stochastic Approximation: A Unified View of Federated Learning and Distributed Multi-Task Reinforcement Learning Algorithms [PDF]
, 2020 Thinh T. Doan
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Roadmap on Artificial Intelligence‐Augmented Additive Manufacturing
Advanced Intelligent Systems, EarlyView.This Roadmap outlines the transformative role of artificial intelligence‐augmented additive manufacturing, highlighting advances in design, monitoring, and product development. By integrating tools such as generative design, computer vision, digital twins, and closed‐loop control, it presents pathways toward smart, scalable, and autonomous additive ...
Ali Zolfagharian +37 more
wiley +1 more source
Distributed Attacks over Federated Reinforcement Learning-enabled Cell Sleep Control [PDF]
, 2023 Han Zhang +6 more
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Context Awareness and Human–Robot Interaction Optimization for Museum Intelligent Guide Robot
Advanced Intelligent Systems, EarlyView.This study presents a context‐aware human–robot interaction framework designed for intelligent museum guide robots. The system features a three‐layer architecture—perception, understanding, and behavior execution—that enables adaptive and meaningful interactions with museum visitors.
Anna Zou, Yue Meng, Shijing Tong
wiley +1 more source
Feature-Based Federated Transfer Learning: Communication Efficiency, Robustness and Privacy
IEEE Transactions on Machine Learning in Communications and NetworkingIn this paper, we propose feature-based federated transfer learning as a novel approach to improve communication efficiency by reducing the uplink payload by multiple orders of magnitude compared to that of existing approaches in federated learning and ...
Feng Wang +2 more
doaj +1 more source
Federated Noisy Client Learning
IEEE Transactions on Neural Networks and Learning SystemsThe code is available on https://github.com/TKH666/Fed ...
Kahou Tam +4 more
openaire +3 more sources