Results 261 to 270 of about 7,049,980 (289)

Non-IIDness Learning in Behavioral and Social Data

The Computer Journal, 2013
Most of the classic theoretical systems and tools in statistics, data mining and machine learning are built on the fundamental assumption of IIDness, which assumes the independence and identical distribution of underlying objects, attributes and/or values.
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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
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Non-IID Learning

IEEE Intelligent Systems, 2022
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Non-IID Federated Learning

IEEE Intelligent Systems, 2022
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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
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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
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A state-of-the-art survey on solving non-IID data in Federated Learning

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

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

Resource-Efficient Federated Learning With Non-IID Data: An Auction Theoretic Approach

IEEE Internet of Things Journal, 2022
Eunil Seo, Dusit Niyato, Erik Elmroth
exaly