Results 111 to 120 of about 34,864,804 (179)

Non-IID latent variable models [PDF]

, 2019
University of Technology Sydney. Faculty of Engineering and Information Technology.Latent Variable Model (LVM) is the statistical model that aims to uncover hidden information behind data.
Do, Trong Dinh Thac
core   +1 more source

Addressing Non-IID Data in Federated Learning with Dual Attention Mechanism for Edge Computing Applications

Addressing Non-IID Data in Federated Learning with Dual Attention Mechanism for Edge Computing ...
A Yao (13306335), Y Qu (9976652), Xiao Liu (13082469), J Bai (7290620), AG Neiat (15806159), C Zhang (2567170)   +5 more
core  

Feature matching data synthesis for non-IID federated learning

Federated learning (FL) has emerged as a privacy-preserving paradigm that trains neural networks on edge devices without collecting data at a central server.
Sun, Yuchang, Mao, Yuyi, Shao, Jiawei, Wang, Jessie Hui, Li, Zijian, Zhang, Jun   +5 more
core   +1 more source

FBLG: A Local Graph Based Approach for Handling Dual Skewed Non-IID Data in Federated Learning

FBLG: A Local Graph Based Approach for Handling Dual Skewed Non-IID Data in Federated ...
X Fan (7674161), H Luo (7754681), Xiao Liu (13082469), Y Li (4701352), Y Xu (7355780)   +4 more
core  

A Review of Solving Non-IID Data in Federated Learning: Current Status and Future Directions

Federated learning (FL), as a machine learning framework, has garnered substantial attention from researchers in recent years. FL makes it possible to train a global model through coordination by a central server while ensuring the privacy of data on ...
Xiulai Li (20258019), Ji He (40669), Wenhai Lu (12750431), Jieren Cheng (20258016)   +3 more
core   +1 more source

Federated Learning Framework for Brain Tumor Detection Using MRI Images in Non-IID Data Distributions

Journal of Imaging Informatics in Medicine
MD. Zahin Muntaqim, Tangin Amir Smrity
semanticscholar   +1 more source

Federated learning meets few-shot learning: A voting ensemble based combined approach to cauliflower leaf disease classification across Non-IID data distributions

Array
MD. Zahin Muntaqim, Tangin Amir Smrity, Hasan Muhammad Kafi, Abu Saleh Musa Miah, Fahmid Al Farid, H. Bin Abdul Karim, Anichur Rahman   +6 more
semanticscholar   +1 more source

PFL-NON-IID Framework: Evaluating MOON Algorithm on Handling Non-IID Data Distributions

, 2023
Sheng Chen, Jiancheng Peng, Andi Tong, Cong Wu   +3 more
openaire   +1 more source

Federated Random Forest on Non-IID Data

KIISE Transactions on Computing Practices
Penjan Antonio Eng Lim, Cheong-Hee Park
openaire   +1 more source

Federated Learning for non-IID Healthcare Data

International Research Journal of Modernization in Engineering Technology & Science
openaire   +1 more source