Discover how automation transforms feature creation while ensuring data privacy.
Tom Overman, Diego Klabjan
― 7 min read
Cutting edge science explained simply
Discover how automation transforms feature creation while ensuring data privacy.
Tom Overman, Diego Klabjan
― 7 min read
A look into the fusion of FL and QDSNNs for smarter, private data processing.
Nouhaila Innan, Alberto Marchisio, Muhammad Shafique
― 7 min read
Predicting mobile data usage with federated learning ensures efficiency and privacy.
Nikolaos Pavlidis, Vasileios Perifanis, Selim F. Yilmaz
― 8 min read
A groundbreaking framework ensuring energy efficiency in Federated Learning for IoT devices.
Zehao Ju, Tongquan Wei, Fuke Shen
― 9 min read
Learn how Federated Unlearning improves data privacy while training AI models.
Jianan Chen, Qin Hu, Fangtian Zhong
― 6 min read
A look at strategies for fair play in federated learning.
Dimitar Chakarov, Nikita Tsoy, Kristian Minchev
― 6 min read
Discover how LLMs are changing telecommunications while facing challenges with hallucinations.
Yinqiu Liu, Guangyuan Liu, Ruichen Zhang
― 7 min read
Hypernetwork Federated Learning offers new ways to protect data privacy in machine learning.
Pengxin Guo, Shuang Zeng, Wenhao Chen
― 6 min read
Boosting maize disease detection while preserving data privacy for farmers.
Thalita Mendonça Antico, Larissa F. Rodrigues Moreira, Rodrigo Moreira
― 5 min read
Learn how federated learning transforms traffic predictions while keeping data private.
Fermin Orozco, Pedro Porto Buarque de Gusmão, Hongkai Wen
― 5 min read
RHFL+ tackles data noise and model differences in federated learning.
Chun-Mei Feng, Yuanyang He, Jian Zou
― 6 min read
A new approach improves security in federated learning by focusing on client-side defenses.
Borja Molina-Coronado
― 6 min read
Learn how exclaves enhance privacy and integrity in federated learning models.
Jinnan Guo, Kapil Vaswani, Andrew Paverd
― 6 min read
A new approach enhances collaboration in Federated Learning while preserving data privacy.
Dipanwita Thakur, Antonella Guzzo, Giancarlo Fortino
― 5 min read
Hospitals collaborate safely using FedCAR for better medical image generation.
Minjun Kim, Minjee Kim, Jinhoon Jeong
― 6 min read
TRAIL enhances federated learning by addressing unreliable clients effectively.
Gangqiang Hu, Jianfeng Lu, Jianmin Han
― 5 min read
C-FedRAG empowers secure data sharing while ensuring confidentiality across organizations.
Parker Addison, Minh-Tuan H. Nguyen, Tomislav Medan
― 8 min read
A blend of federated learning and fuzzy cognitive maps enhances data privacy and collaboration.
Jose L Salmeron, Irina Arévalo
― 7 min read
Learn how devices collaborate without sharing personal data.
Junliang Lyu, Yixuan Zhang, Xiaoling Lu
― 6 min read
A new model to enhance cloud data security against malicious users.
Kishu Gupta, Deepika Saxena, Rishabh Gupta
― 6 min read
FedPIA enhances machine learning while safeguarding sensitive data privacy.
Pramit Saha, Divyanshu Mishra, Felix Wagner
― 6 min read
A fresh approach to federated learning that balances privacy and efficiency.
Dipam Goswami, Simone Magistri, Kai Wang
― 6 min read
Learn how Split Federated Learning keeps data safe while training smart models.
Justin Dachille, Chao Huang, Xin Liu
― 8 min read
Learn about DualGFL's impact on data privacy and efficiency.
Xiaobing Chen, Xiangwei Zhou, Songyang Zhang
― 5 min read
Federated Learning enables model training while keeping user data private and secure.
Ozgu Goksu, Nicolas Pugeault
― 7 min read
Discover how FLAMe enhances fall detection in smart cities while ensuring privacy.
Byeonghun Kim, Byeongjoon Noh
― 5 min read
Researchers innovate in automating code review using advanced technology and federated learning.
Jahnavi Kumar, Sridhar Chimalakonda
― 6 min read
Innovative models inspired by biology reshape energy-efficient network traffic prediction.
Theodoros Tsiolakis, Nikolaos Pavlidis, Vasileios Perifanis
― 5 min read
FedDP improves software defect predictions while ensuring data privacy.
Yuying Wang, Yichen Li, Haozhao Wang
― 5 min read
FedLEC improves federated learning performance by addressing label skews effectively.
Di Yu, Xin Du, Linshan Jiang
― 6 min read
FedGIG tackles privacy risks in graph data training.
Tianzhe Xiao, Yichen Li, Yining Qi
― 5 min read
Learn how federated learning enhances data privacy during AI model training.
Kunal Bhatnagar, Sagana Chattanathan, Angela Dang
― 6 min read
Learn how devices can share knowledge without exposing personal data.
Honggu Kang, Seohyeon Cha, Joonhyuk Kang
― 8 min read
ECoral enhances federated class-incremental learning while ensuring data privacy.
Rui Sun, Yumin Zhang, Varun Ojha
― 7 min read
Learn how ConDistFL improves AI model training with sensitive medical data.
Pochuan Wang, Chen Shen, Masahiro Oda
― 6 min read
A look into federated learning and its role in maintaining privacy while improving data accuracy.
Tony Cai, Abhinav Chakraborty, Lasse Vuursteen
― 5 min read
Calibre enhances personalized federated learning with better model performance and fairness.
Sijia Chen, Ningxin Su, Baochun Li
― 5 min read
A new method improves communication in Federated Learning while protecting privacy.
Xinyi Hu
― 6 min read
Innovative methods help rural clinics access advanced healthcare solutions.
Jiaqi Wang, Ziyi Yin, Quanzeng You
― 7 min read
Federated learning enhances machine learning while keeping data private.
Muhammad Irfan Khan, Elina Kontio, Suleiman A. Khan
― 9 min read