Federated Learning via Meta-Variational Dropout

Federated Learning via Meta-Variational Dropout

Neural Information Processing Systems (NeurIPS), 2025

23 October 2025

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Papers citing "Federated Learning via Meta-Variational Dropout"

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Title
Addressing the Collaboration Dilemma in Low-Data Federated Learning via Transient Sparsity Q. Xiao Boqian Wu Andrey Poddubnyy Elena Mocanu Phuong H. Nguyen Mykola Pechenizkiy Decebal Constantin Mocanu FedML 145 0 0 01 Jun 2025
Non-IID data in Federated Learning: A Survey with Taxonomy, Metrics, Methods, Frameworks and Future Directions Daniel Gutiérrez David Solans Mikko A. Heikkilä A. Vitaletti Nicolas Kourtellis Aris Anagnostopoulos I. Chatzigiannakis OOD 265 9 0 19 Nov 2024
Personalizing Low-Rank Bayesian Neural Networks Via Federated LearningInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2024 Boning Zhang Dongzhu Liu Osvaldo Simeone Guanchu Wang Dimitrios Pezaros Guangxu Zhu BDL FedML 128 1 0 18 Oct 2024
Advances in Robust Federated Learning: A Survey with Heterogeneity ConsiderationsIEEE Transactions on Big Data (IEEE Trans. Big Data), 2024 Chuan Chen Tianchi Liao Xiaojun Deng Zihou Wu Sheng Huang Zibin Zheng FedML 201 11 0 16 May 2024