Results 71 to 80 of about 96,144 (271)

Study of Video Annotations In External Practices Of University Learning [PDF]

, 2015
The digital video as code and learning technology has extensive scientific literature (Bartolome, 1997; Aguaded and Sánchez, 2008). However, the increase of digital video services on the Internet has facilitated and increased the use of video for ...
Cebrian-de-la-Serna, Manuel, Cebrián Robles, Daniel, Monedero Moya, Juan José   +2 more
core  

Personalized Federated Learning With a Graph

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022
Knowledge sharing and model personalization are two key components in the conceptual framework of personalized federated learning (PFL). Existing PFL methods focus on proposing new model personalization mechanisms while simply implementing knowledge sharing by aggregating models from all clients, regardless of their relation graph.
Fengwen Chen, Guodong Long, Zonghan Wu, Tianyi Zhou 0001, Jing Jiang 0002   +4 more
openaire   +2 more sources

GPCRs in CAR‐T Cell Immunotherapy: Expanding the Target Landscape and Enhancing Therapeutic Efficacy

Advanced Science, EarlyView.
Chimeric antigen receptor T cell therapy faces dual challenges of target scarcity and an immunosuppressive microenvironment in solid tumors. This review highlights how G protein‐coupled receptors can serve as both novel targets to expand the therapeutic scope and functional modules to enhance CAR‐T cell efficacy.
Zhuoqun Liu, Yuchen Xiao, Yamin Zhao, Lihe Dai, David J.H. Shih, Shikang Liang, Honglei Tian, Liu Liu, Feng Tian, Bing Liu, Lei Chang, Chao Zhang   +11 more
wiley   +1 more source

Leveraging Artificial Intelligence and Large Language Models for Cancer Immunotherapy

Advanced Science, EarlyView.
Cancer immunotherapy faces challenges in predicting treatment responses and understanding resistance mechanisms. Artificial intelligence (AI) and machine learning (ML) offer powerful solutions for cancer immunotherapy in patient stratification, biomarker discovery, treatment strategy optimization, and foundation model development.
Xinchao Wu, Mengtao Sun, Lusheng Li, Jieqiong Wang, Shibiao Wan   +4 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

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

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

Research advances on privacy protection of federated learning

大数据, 2021
To this end, many laws and regulations on privacy protection have been introduced, and the phenomenon of data-island has become a major bottleneck hindering the development of big data and artificial intelligence technology.Federated learning has ...
Jianzong WANG, Lingwei KONG, Zhangcheng HUANG, Linjie CHEN, Yi LIU, Chunxi LU, Jing XIAO   +6 more
doaj  

Ethical Precision in Nanoscale Brain Interfacing

Advanced Science, EarlyView.
As brain interfaces approach the nanoscale, precision no longer only measures—it knows, predicts, and potentially reshapes the mind. This work argues that traditional ethics fails under such conditions and proposes a shift toward continuous, operation‐based governance using the recovery–discovery framework to track, constrain, and responsibly steer ...
Guilherme Wood
wiley   +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