Keyword:Federated Learning

Publications
Artificial Intelligence Usage and Data Privacy Discoveries within mHealth Jennifer Schulte, Patrick Engebretson and Mark Spanier In:Proceedings of 39th International Conference on Computers and Their Applications
Optimizing Convolutional Neural Network Models for Resource-Constrained Devices in Telemedicine: a Lightweight Approach Dylan Stilinki EasyChair Preprint 14660
Addressing Data Privacy and Security Challenges in Telemedicine Applications Utilizing Convolutional Neural Networks Dylan Stilinki EasyChair Preprint 14658
Federated Learning for Privacy-Preserving Security Analytics Favour Olaoye and Axel Egon EasyChair Preprint 14568
Federated Learning Approaches for Privacy-Preserving Malware Detection Brown Klinton, Peter Broklyn and Sabir Kashar EasyChair Preprint 14120
Secure and Privacy-Preserving Machine Learning for Federated Learning in Wireless Networks Dylan Stilinki and Hubert Klaus EasyChair Preprint 14087
Stake-Driven Rewards and Log-Based Free Rider Detection in Federated Learning Huong Nguyen, Hong-Tri Nguyen, Lauri Loven and Susanna Pirttikangas EasyChair Preprint 13968
Optimizing Deep Learning Architectures for Mobile Medical Imaging Devices Kayode Sheriffdeen EasyChair Preprint 13784
Resource-Aware Heterogeneous Federated Learning with Specialized Local Models Sixing Yu, Pablo Munoz and Ali Jannesari EasyChair Preprint 13376
Investigating the Use of Federated Learning to Enable Collaborative AI Model Training While Preserving Data Privacy in Industrial IoT Settings. Ayuns Luz and Harold Jonathan EasyChair Preprint 13279
Protecting Machine Learning Insights: Ensuring Data Privacy with Advanced Privacy-Preserving Techniques Basit Abbas EasyChair Preprint 12438
Securing Insights: Safeguarding Sensitive Data in Machine Learning Through Privacy-Preserving Techniques Haney Zaki EasyChair Preprint 12042
Leveraging Transfer Learning to Optimize Edge Computing in Resource-Constrained Settings. Asad Ali and Muzamil Abbas EasyChair Preprint 11823
A Novel Method for Communication-Efficient and Privacy-Preserving AI Model Generation and Optimization through Federated Learning Suryabhan Singh and Pethuru Raj EasyChair Preprint 11646
PoShapley-BCFL: a Fair and Robust Decentralized Federated Learning Based on Blockchain and the Proof of Shapley-Value Ziwen Cheng, Yi Liu, Chao Wu, Yongqi Pan, Liushun Zhao and Cheng Zhu EasyChair Preprint 11114
Federated Learning for Empowering Large Language Models Soumik Deb Niloy, Abdullah Jamil Sifat, Md Asaduzzaman Sarker Anik, Mohammad Jawad Ul Tashick and Mashira Rofi EasyChair Preprint 10828
Federated Learning Methods for Analytics of Big and Sensitive Distributed Data and Survey Michal Staňo, Ladislav Hluchý, Martin Bobák, Peter Krammer and Viet Tran EasyChair Preprint 9819
A Multi-Task Cardiovascular Disease Classification Method via Adaptive Update Renjie Tang, Junzhou Luo and Junbo Qian EasyChair Preprint 5895
uTile PET: a Privacy Preserving Solution for Collaborative Data-Driven Projects Daniel Hurtado Ramírez, Luis Porras Díaz, Álvaro Calzado Pérez, Borja Irigoyen Peña, Alexander Benítez Buenache, Juan Miguel Auñón García, Ana María García Sánchez and Pablo González Fuente EasyChair Preprint 5354
Foundations and Case Studies on the Scalable Intelligence in AIoT Domains Aarne Klemetti and Erkki Räsänen EasyChair Preprint 5326