Results 51 to 60 of about 72,357 (237)

Advancing Federated Learning: A Systematic Literature Review of Methods, Challenges, and Applications

IEEE Access
Federated Learning (FL) has emerged as a cutting-edge paradigm in machine learning, showcasing remarkable advancements in recent years. This research paper delves into the dynamic landscape of FL by addressing four pivotal research questions.
Tamanna Zubairi Sana, Shahab Abdulla, Anindya Nag, Ayontika Das, Md. Mehedi Hassan, Zoya Zubairi Fiza, Asif Karim, Sheikh Ridwan Raihan Kabir   +7 more
doaj   +1 more source

A Hybrid Approach to Privacy-Preserving Federated Learning

, 2019
Federated learning facilitates the collaborative training of models without the sharing of raw data. However, recent attacks demonstrate that simply maintaining data locality during training processes does not provide sufficient privacy guarantees ...
Anwar, Ali, Baracaldo, Nathalie, Ludwig, Heiko, Steinke, Thomas, Truex, Stacey, Zhang, Rui, Zhou, Yi   +6 more
core   +1 more source

WW-FL: Secure and Private Large-Scale Federated Learning

, 2023
This is the full and extended version of the work, which will be published in the IACR Transactions on Cryptographic Hardware and Embedded Systems (CHES 2026)
Marx, Felix, Schneider, Thomas, Suresh, Ajith, Wehrle, Tobias, Weinert, Christian, Yalame, Hossein   +5 more
openaire   +2 more sources

Loss‐Based Ensemble Generative Adversarial Network Model for Enhancing the Sperm Morphology Classification

Advanced Intelligent Systems, EarlyView.
A loss‐based ensemble generative adversarial network (GAN) framework is proposed to address mode collapse in sperm morphology classification. By integrating spatial augmentation and multiple GAN models, the study enhances synthetic data quality. The Shifted Window Transformer achieves 95.37% accuracy on the HuSHeM dataset, outperforming previous ...
Berke Cansiz, Hamza Osman Ilhan, Gorkem Serbes   +2 more
wiley   +1 more source

Building an Intelligent Cardiovascular System Platform: Embedding Artificial Intelligence across All Facets of Cardiovascular Medicine

Advanced Intelligent Systems, EarlyView.
This paper presents an integrated AI‐driven cardiovascular platform unifying multimodal data, predictive analytics, and real‐time monitoring. It demonstrates how artificial intelligence—from deep learning to federated learning—enables early diagnosis, precision treatment, and personalized rehabilitation across the full disease lifecycle, promoting a ...
Mowei Kong, Xingwei Zhao, Qiuting Li, Yang Yu, Chunxiang Zhang   +4 more
wiley   +1 more source

Survey on federated recommendation systems

大数据, 2022
In the federated learning (FL) paradigm, the original data are stored in independent clients while masked data are sent to a central server to be aggregated, which proposes a novel design approach to numerous domains.Given the wide application of ...
Zhitao ZHU, Shijing SI, Jianzong WANG, Jing XIAO   +3 more
doaj  

OpenFedLLM: Training Large Language Models on Decentralized Private Data via Federated Learning [PDF]

Knowledge Discovery and Data Mining
Trained on massive publicly available data, large language models (LLMs) have demonstrated tremendous success across various fields. While more data contributes to better performance, a disconcerting reality is that high-quality public data will be ...
Rui Ye, Wenhao Wang, Jingyi Chai, Dihan Li, Zexi Li, Yinda Xu, Yaxin Du, Yanfeng Wang, Siheng Chen   +8 more
semanticscholar   +1 more source

AI‐Assisted IoT‐Enabled ECG Monitoring: Integrating Foundational and Generative AI Tools for Sustainable Smart Healthcare—Recent Trends

AI &Innovation, EarlyView.
ABSTRACT The rapid evolution of the Internet of Things (IoT) has significantly advanced the field of electrocardiogram (ECG) monitoring, enabling real‐time, remote, and patient‐centric cardiac care. This paper presents a comprehensive survey of AI assisted IoT‐based ECG monitoring systems, focusing on the integration of emerging technologies such as ...
Amrita Choudhury, Kandarpa Kumar Sarma, Lachit Dutta   +2 more
wiley   +1 more source

Exploring Homomorphic Encryption and Differential Privacy Techniques towards Secure Federated Learning Paradigm

Future Internet, 2023
The trend of the next generation of the internet has already been scrutinized by top analytics enterprises. According to Gartner investigations, it is predicted that, by 2024, 75% of the global population will have their personal data covered under ...
Rezak Aziz, Soumya Banerjee, Samia Bouzefrane, Thinh Le Vinh   +3 more
doaj   +1 more source

From concept to community of practice in anatomical ethics and professionalism: 5 years of the “Bioethics Unicorns” education initiative

Anatomical Sciences Education, EarlyView.
Abstract The topics of ethics and professionalism in anatomy have only recently gained prominence within the discipline, reflecting trends in medical and health professions education and an increasing awareness of societal expectations around the use of the dead.
Jon Cornwall, Sabine Hildebrandt, Thomas Champney   +2 more
wiley   +1 more source