Results 151 to 160 of about 34,864,804 (179)
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IOFL: Intelligent-Optimization-Based Federated Learning for Non-IID Data

IEEE Internet of Things Journal
Federated learning (FL) algorithm has been widely studied in recent years due to its ability for sharing data while protecting privacy. However, FL has risks, such as model inversion attack, and is less effective when data is nonindependent and ...
Xinyan Li, Hui-Min Zhao, Wu Deng
semanticscholar   +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   +4 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   +6 more
openaire   +1 more source

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

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

Enhancing federated learning robustness in adversarial environment through clustering Non-IID features

Computers and Security, 2023
Abubakar Sadiq Sani, Dong Yuan, Wei Bao
exaly  

Dynamic Clustering Federated Learning for Non-IID Data

2022
Ming Chen   +5 more
openaire   +1 more source

FedProc: Prototypical contrastive federated learning on non-IID data

Future Generation Computer Systems, 2023
Ke Cheng, Yulong Shen, Xutong Mu
exaly  

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