Results 61 to 70 of about 129,870 (304)

Multimodal Wearable Biosensing Meets Multidomain AI: A Pathway to Decentralized Healthcare

Advanced Science, EarlyView.
Multimodal biosensing meets multidomain AI. Wearable biosensors capture complementary biochemical and physiological signals, while cross‐device, population‐aware learning aligns noisy, heterogeneous streams. This Review distills key sensing modalities, fusion and calibration strategies, and privacy‐preserving deployment pathways that transform ...
Chenshu Liu, Haolin Fan, Minwoo Kim, Tong Zhou, Pinyi Yang, Lingdi Zhao, Yiran Wang, Ziyuan Che, Chia‐Wei Liu, Bingbing Li, Yangzhi Zhu   +10 more
wiley   +1 more source

Combined Federated and Split Learning in Edge Computing for Ubiquitous Intelligence in Internet of Things: State-of-the-Art and Future Directions

Sensors, 2022
Federated learning (FL) and split learning (SL) are two emerging collaborative learning methods that may greatly facilitate ubiquitous intelligence in the Internet of Things (IoT).
Qiang Duan, Shijing Hu, Ruijun Deng, Zhihui Lu   +3 more
doaj   +1 more source

A Federated Deep Learning Empowered Resource Management Method to Optimize 5G and 6G Quality of Services (QoS) [PDF]

, 2022
Hemaid Alsulami, Suhail H. Serbaya, Emad H. Abualsauod, Asem Majed Othman, Ali Rizwan, Asadullah Jalali   +5 more
openalex   +1 more source

Terahertz Channel Modeling, Estimation and Localization in RIS‐Assisted Systems

Advanced Electronic Materials, EarlyView.
Reconfigurable intelligent surfaces have become a recent intensive research focus. Based on practical applications, channel strategies for RIS‐assisted terahertz wireless communication systems are categorized into three different types: channel modeling, channel estimation, and channel localization.
Hongjing Wang, Weipeng Wang, Xuan Cong, Shiyu Wang, Gao Li, Sen Gong, Lin Huang, Hongxin Zeng, Yaxin Zhang, Ziqiang Yang   +9 more
wiley   +1 more source

Distributed consensus problem with caching on federated learning framework

International Journal of Distributed Sensor Networks, 2022
Federated learning framework facilitates more applications of deep learning algorithms on the existing network architectures, where the model parameters are aggregated in a centralized manner.
Xin Yan, Yiming Qin, Xiaodong Hu, Xiaoling Xiao   +3 more
doaj   +1 more source

Disentangling the relationships between denomination of origin regulatory councils activities and Spanish wineries' export performance

Agribusiness, EarlyView.
Abstract World markets for quality differentiated agri‐food products are highly competitive, presenting significant challenges for firms aiming to compete effectively. Government agencies and business organizations often implement various export promotion policies to address these challenges.
Nicolás Depetris‐Chauvin, Marta Fernández‐Olmos   +1 more
wiley   +1 more source

A survey of security threats in federated learning

Complex & Intelligent Systems
Federated learning is a distributed machine learning paradigm that emerged as a solution to the need for privacy protection in artificial intelligence.
Yunhao Feng, Yanming Guo, Yinjian Hou, Yulun Wu, Mingrui Lao, Tianyuan Yu, Gang Liu   +6 more
doaj   +1 more source

A Survey of Differential Privacy Techniques for Federated Learning

IEEE Access
The problem of data privacy protection in the information age deserves people’s attention. As a distributed machine learning technology, federated learning can effectively solve the problem of privacy security and data silos.
Wang Xin, Li Jiaqian, Ding Xueshuang, Zhang Haoji, Sun Lianshan   +4 more
doaj   +1 more source

The Role of Certifications in Improving Household Food Security Among Peruvian Farmers

Agribusiness, EarlyView.
ABSTRACT Achieving global food security requires sustainable transformations in agri‐food systems. Voluntary Sustainability Standards (VSS) such as Organic and Fairtrade aim to internalize certain social and environmental costs while promoting more equitable value distribution, improved market access, and sustainable production practices.
Lisa‐Marie Schulte, Awudu Abdulai
wiley   +1 more source

Attribute Inference Attack of Speech Emotion Recognition in Federated Learning Settings [PDF]

, 2021
Tiantian Feng, Hanieh Hashemi, Rajat Hebbar, Murali Annavaram, Shrikanth Narayanan   +4 more
openalex   +1 more source