Results 261 to 270 of about 1,704,441 (287)

FedEL: Federated ensemble learning for non-iid data

Expert Systems with Applications
Federated learning (FL) is a joint training pattern that fully utilizes data information whereas protecting data privacy. A key challenge in FL is statistical heterogeneity, which arises on account of the heterogeneity of local data distributions among clients, leading to inconsistency in local optimization goals and ultimately reducing the performance
Xing Wu 0001, Jie Pei, Xian-Hua Han, Yen-Wei Chen 0001, Junfeng Yao, Yang Liu 0005, Quan Qian, Yike Guo   +7 more
openaire   +2 more sources

Efficient Split Learning with Non-iid Data

2022 23rd IEEE International Conference on Mobile Data Management (MDM), 2022
Yuanqin Cai, Tongquan Wei
openaire   +1 more source

Kernel Measures of Independence for non-iid Data.

2009
Many machine learning algorithms can be formulated in the framework of statistical independence such as the Hilbert Schmidt Independence Criterion. In this paper, we extend this criterion to deal with structured and interdependent observations. This is achieved by modeling the structures using undirected graphical models and comparing the Hilbert space
Zhang, X., Song, L., Gretton, A., Smola, A.   +3 more
openaire   +2 more sources

Communication-Efficient Federated Data Augmentation on Non-IID Data

2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2022
Hui Wen 0005, Yue Wu, Jingjing Li 0001, Hancong Duan   +3 more
openaire   +1 more source

Federated Dictionary Learning from Non-IID Data

2022 IEEE 14th Image, Video, and Multidimensional Signal Processing Workshop (IVMSP), 2022
Alexandros Gkillas, Dimitris Ampeliotis, Kostas Berberidis   +2 more
openaire   +1 more source

Private Data Synthesis from Decentralized Non-IID Data

2023 International Joint Conference on Neural Networks (IJCNN), 2023
Muhammad Usama Saleem, Liyue Fan
openaire   +1 more source

A Novel Approach for Federated Learning with Non-IID Data

2022 9th International Conference on Soft Computing & Machine Intelligence (ISCMI), 2022
Hiep Thi Hong Nguyen, Harikrishna Warrier, Yogesh Gupta   +2 more
openaire   +1 more source

Contractible Regularization for Federated Learning on Non-IID Data

2022 IEEE International Conference on Data Mining (ICDM), 2022
Zifan Chen, Zhe Wu, Xian Wu 0001, Li Zhang 0047, Jie Zhao 0009, Yangtian Yan, Yefeng Zheng 0001   +6 more
openaire   +1 more source

Federated Learning With Server Learning for Non-IID Data

2023 57th Annual Conference on Information Sciences and Systems (CISS), 2023
Van Sy Mai, Richard J. La, Tao Zhang 0005, Yuxuan Huang, Abdella Battou   +4 more
openaire   +1 more source

A state-of-the-art survey on solving non-IID data in Federated Learning

Future Generation Computer Systems, 2022
Xiaodong Ma, Jia Zhu
exaly