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Adversarially-Regularized Mixed Effects Deep Learning (ARMED) Models Improve Interpretability, Performance, and Generalization on Clustered (non-iid) Data
Nguyen, Kevin P., Treacher, Alex H., Montillo, Albert A.
Published in IEEE transactions on pattern analysis and machine intelligence (01.07.2023)
Published in IEEE transactions on pattern analysis and machine intelligence (01.07.2023)
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A collaborative ensemble construction method for federated random forest
Antonio Eng Lim, Penjan, Hee Park, Cheong
Published in Expert systems with applications (01.12.2024)
Published in Expert systems with applications (01.12.2024)
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Layered Randomized Quantization for Communication-Efficient and Privacy-Preserving Distributed Learning
Yan, Guangfeng, Li, Tan, Wu, Kui, Song, Linqi
Published in IEEE journal on selected areas in communications (01.07.2025)
Published in IEEE journal on selected areas in communications (01.07.2025)
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A collaborative ensemble construction method for federated random forest
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A Closer Look at Personalization in Federated Image Classification
Jing, Changxing, Huang, Yan, Zhuang, Yihong, Sun, Liyan, Huang, Yue, Xiao, Zhenlong, Ding, Xinghao
Year of Publication 22.04.2022
Year of Publication 22.04.2022
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Differentially Private Online Federated Learning with Correlated Noise
Zhang, Jiaojiao, Zhu, Linglingzhi, Johansson, Mikael
Published in Proceedings of the IEEE Conference on Decision & Control (16.12.2024)
Published in Proceedings of the IEEE Conference on Decision & Control (16.12.2024)
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A Closer Look at Personalization in Federated Image Classification
Changxing Jing, Huang, Yan, Zhuang, Yihong, Sun, Liyan, Huang, Yue, Xiao, Zhenlong, Ding, Xinghao
Published in arXiv.org (22.04.2022)
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Published in arXiv.org (22.04.2022)
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Generalization vs Personalization: A Trade-off for better Data Heterogeneity impact Mitigation in FL
Besrour, Sinda, Mubibya, Gael S., Ben Abdeljelil, Chayma, Almhana, Jalal
Published in IEEE Global Communications Conference (Online) (08.12.2024)
Published in IEEE Global Communications Conference (Online) (08.12.2024)
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Filling the Missing: Exploring Generative AI for Enhanced Federated Learning over Heterogeneous Mobile Edge Devices
Li, Peichun, Zhang, Hanwen, Wu, Yuan, Qian, Liping, Yu, Rong, Niyato, Dusit, Shen, Xuemin
Year of Publication 21.10.2023
Year of Publication 21.10.2023
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