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https://doi.org/10.2139/ssrn.4656626

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Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/s11280-021-00989-xopenalex-extracted
FedAda: Fast-convergent adaptive federated learning in heterogeneous mobile edge computing environment
inferredcites →https://doi.org/10.1007/s13042-022-01647-yopenalex-extracted
A survey on federated learning: challenges and applications
inferredcites →https://doi.org/10.1016/j.neucom.2021.07.098openalex-extracted
Federated learning on non-IID data: A survey
inferredcites →https://doi.org/10.1109/34.868688openalex-extracted
Normalized cuts and image segmentation
inferredcites →https://doi.org/10.1109/cvpr46437.2021.01057openalex-extracted
Model-Contrastive Federated Learning
inferredcites →https://doi.org/10.1109/cvprw53098.2021.00369openalex-extracted
Towards Fair Federated Learning with Zero-Shot Data Augmentation
inferredcites →https://doi.org/10.1109/icc42927.2021.9500901openalex-extracted
Energy-efficient Clustering to Address Data Heterogeneity in Federated Learning
inferredcites →https://doi.org/10.1109/iccv.2003.1238361openalex-extracted
Multiclass spectral clustering
inferredcites →https://doi.org/10.1109/ijcnn.2017.7966217openalex-extracted
EMNIST: Extending MNIST to handwritten letters
inferredcites →https://doi.org/10.1109/ijcnn48605.2020.9207469openalex-extracted
Federated learning with hierarchical clustering of local updates to improve training on non-IID data
inferredcites →https://doi.org/10.1109/ijcnn52387.2021.9533876openalex-extracted
FedSAE: A Novel Self-Adaptive Federated Learning Framework in Heterogeneous Systems
inferredcites →https://doi.org/10.1109/infocom41043.2020.9155494openalex-extracted
Optimizing Federated Learning on Non-IID Data with Reinforcement Learning
inferredcites →https://doi.org/10.1109/tii.2023.3252599openalex-extracted
A Greedy Agglomerative Framework for Clustered Federated Learning
inferredcites →https://doi.org/10.1109/tit.2022.3192506openalex-extracted
An Efficient Framework for Clustered Federated Learning
inferredcites →https://doi.org/10.1109/tnnls.2020.3015958openalex-extracted
Clustered Federated Learning: Model-Agnostic Distributed Multitask Optimization Under Privacy Constraints
inferredcites →https://doi.org/10.1609/aaai.v35i9.16960openalex-extracted
Personalized Cross-Silo Federated Learning on Non-IID Data
inferredcites →https://doi.org/10.1613/jair.953openalex-extracted
SMOTE: Synthetic Minority Over-sampling Technique
inferredcites →https://doi.org/10.48550/arxiv.1602.05629openalex-extracted
Communication-Efficient Learning of Deep Networks from Decentralized Data
inferredcites →https://doi.org/10.48550/arxiv.1703.03400openalex-extracted
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
inferredcites →https://doi.org/10.48550/arxiv.1802.07876openalex-extracted
Federated Meta-Learning with Fast Convergence and Efficient Communication
inferredcites →https://doi.org/10.48550/arxiv.1806.00582openalex-extracted
Federated Learning with Non-IID Data
inferredcites →https://doi.org/10.48550/arxiv.1811.11479openalex-extracted
Communication-Efficient On-Device Machine Learning: Federated Distillation and Augmentation under Non-IID Private Data
inferredcites →https://doi.org/10.48550/arxiv.1909.12488openalex-extracted
Improving Federated Learning Personalization via Model Agnostic Meta Learning
inferredcites →https://doi.org/10.48550/arxiv.1910.06378openalex-extracted
SCAFFOLD: Stochastic Controlled Averaging for Federated Learning
inferredcites →https://doi.org/10.48550/arxiv.2006.05148openalex-extracted
XOR Mixup: Privacy-Preserving Data Augmentation for One-Shot Federated Learning
inferredcites →https://doi.org/10.48550/arxiv.2012.04221openalex-extracted
Ditto: Fair and Robust Federated Learning Through Personalization
inferredcites →https://doi.org/10.48550/arxiv.2103.00697openalex-extracted
Heterogeneity for the Win: One-Shot Federated Clustering
inferredcites →https://doi.org/10.48550/arxiv.2104.13417openalex-extracted
inferredcites →https://doi.org/10.57702/zp44cu3gopenalex-extracted
Learning Multiple Layers of Features from Tiny Images
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