FedStack: Personalized activity monitoring using stacked federated
learning

FedStack: Personalized activity monitoring using stacked federated learning

27 September 2022

Usha R. Acharya

Papers citing "FedStack: Personalized activity monitoring using stacked federated learning"

15 / 15 papers shown

Title
Edge-Cloud Collaborative Computing on Distributed Intelligence and Model Optimization: A Survey J. H. Liu Yao Du Kun Yang Yan Wang Xiping Hu Z. Wang Y. Liu Peng Sun Azzedine Boukerche Victor C.M. Leung 31 0 0 03 May 2025
CardioAI: A Multimodal AI-based System to Support Symptom Monitoring and Risk Detection of Cancer Treatment-Induced Cardiotoxicity Siyi Wu Weidan Cao Shihan Fu Bingsheng Yao Ziqi Yang Changchang Yin Varun Mishra Daniel Addison Ping Zhang Dakuo Wang 20 2 0 06 Oct 2024
From Challenges and Pitfalls to Recommendations and Opportunities: Implementing Federated Learning in Healthcare Ming Li Pengcheng Xu Junjie Hu Zeyu Tang Guang Yang FedML 40 1 0 15 Sep 2024
Federated Learning in Healthcare: Model Misconducts, Security, Challenges, Applications, and Future Research Directions -- A Systematic Review Md. Shahin Ali M. Ahsan Lamia Tasnim Sadia Afrin Koushik Biswas Maruf Md. Sajjad Hossain Md Mahfuz Ahmed Ronok Hashan Md. Khairul Islam Shivakumar Raman 25 5 0 22 May 2024
Fairness Without Demographics in Human-Centered Federated Learning Shaily Roy Harshit Sharma Asif Salekin 33 2 0 30 Apr 2024
Multimodal Federated Learning in Healthcare: a Review Jacob Thrasher Alina Devkota Prasiddha Siwakotai Rohit Chivukula Pranav Poudel Chaunbo Hu Binod Bhattarai P. Gyawali 26 7 0 14 Oct 2023
Recent Methodological Advances in Federated Learning for Healthcare Fan Zhang Daniel Kreuter Yichen Chen Sören Dittmer Samuel Tull ... James H. F. Rudd J. A. Aston Carola-Bibiane Schönlieb Nicholas S. Gleadall Michael Roberts FedML OOD 13 5 0 04 Oct 2023
Clustered FedStack: Intermediate Global Models with Bayesian Information Criterion T. Shaik Xiaohui Tao Lin Li Niall Higgins R. Gururajan Xujuan Zhou Jianming Yong FedML 17 3 0 20 Sep 2023
QXAI: Explainable AI Framework for Quantitative Analysis in Patient Monitoring Systems T. Shaik Xiaohui Tao Haoran Xie Lin Li Juan D. Velásquez Niall Higgins 12 2 0 19 Sep 2023
FRAMU: Attention-based Machine Unlearning using Federated Reinforcement Learning T. Shaik Xiaohui Tao Lin Li Haoran Xie Taotao Cai Xiaofeng Zhu Qingyuan Li MU 21 12 0 19 Sep 2023
Graph-enabled Reinforcement Learning for Time Series Forecasting with Adaptive Intelligence T. Shaik Xiaohui Tao Haoran Xie Lin Li Jianming Yong Yuefeng Li AI4TS 11 2 0 18 Sep 2023
Sentiment analysis and opinion mining on educational data: A survey T. Shaik Xiaohui Tao Christopher Dann Haoran Xie Y. Li Linda Galligan 11 99 0 08 Feb 2023
Cross-Fusion Rule for Personalized Federated Learning Wangzhuo Yang Bo Chen Yijun Shen Jiong Liu Li Yu FedML 9 0 0 06 Feb 2023
Remote patient monitoring using artificial intelligence: Current state, applications, and challenges T. Shaik Xiaohui Tao Niall Higgins Lin Li R. Gururajan Xujuan Zhou U. Acharya 6 183 0 19 Jan 2023
FedTP: Federated Learning by Transformer Personalization Hongxia Li Zhongyi Cai Jingya Wang Jiangnan Tang Weiping Ding Chin-Teng Lin Ye-ling Shi FedML 20 59 0 03 Nov 2022