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Takle the Data Heterogeneous Variations in Federated Learning Via Adaptive Aggregate Weights

https://doi.org/10.2139/ssrn.4657115
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inferredcites →https://doi.org/10.1016/j.future.2022.05.003openalex-extracted
A state-of-the-art survey on solving non-IID data in Federated Learning
inferredcites →https://doi.org/10.1016/j.ins.2023.03.033openalex-extracted
Federated learning in smart cities: Privacy and security survey
inferredcites →https://doi.org/10.1016/j.neucom.2021.07.098openalex-extracted
Federated learning on non-IID data: A survey
inferredcites →https://doi.org/10.1093/comjnl/bxac118openalex-extracted
Adaptive Federated Learning With Non-IID Data
inferredcites →https://doi.org/10.1109/5.726791openalex-extracted
Gradient-based learning applied to document recognition
inferredcites →https://doi.org/10.1109/cvpr46437.2021.01057openalex-extracted
Model-Contrastive Federated Learning
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/infocom41043.2020.9155494openalex-extracted
Optimizing Federated Learning on Non-IID Data with Reinforcement Learning
inferredcites →https://doi.org/10.1109/jiot.2022.3197317openalex-extracted
Resource-Efficient Federated Learning With Non-IID Data: An Auction Theoretic Approach
inferredcites →https://doi.org/10.1109/tccn.2021.3084406openalex-extracted
Fast-Convergent Federated Learning With Adaptive Weighting
inferredcites →https://doi.org/10.1109/tnnls.2019.2944481openalex-extracted
Robust and Communication-Efficient Federated Learning From Non-i.i.d. Data
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/10.1109/tnse.2022.3168969openalex-extracted
AdaFed: Optimizing Participation-Aware Federated Learning With Adaptive Aggregation Weights
inferredcites →https://doi.org/10.1109/tsp.2021.3115952openalex-extracted
FedPD: A Federated Learning Framework With Adaptivity to Non-IID Data
inferredcites →https://doi.org/10.1145/3369583.3392686openalex-extracted
TiFL: A Tier-based Federated Learning System
inferredcites →https://doi.org/10.1609/aaai.v37i9.26330openalex-extracted
FedALA: Adaptive Local Aggregation for Personalized Federated Learning
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.1708.07747openalex-extracted
Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms
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.1907.02189openalex-extracted
On the Convergence of FedAvg on Non-IID Data
inferredcites →https://doi.org/10.48550/arxiv.1909.06335openalex-extracted
Measuring the Effects of Non-Identical Data Distribution for Federated Visual Classification
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.2002.07948openalex-extracted
Personalized Federated Learning: A Meta-Learning Approach
inferredcites →https://doi.org/10.48550/arxiv.2006.08848openalex-extracted
Personalized Federated Learning with Moreau Envelopes
inferredcites →https://doi.org/10.48550/arxiv.2007.07481openalex-extracted
Tackling the Objective Inconsistency Problem in Heterogeneous Federated Optimization
inferredcites →https://doi.org/10.48550/arxiv.2012.00661openalex-extracted
Fast-Convergent Federated Learning with Adaptive Weighting
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.2102.07623openalex-extracted
FedBN: Federated Learning on Non-IID Features via Local Batch Normalization
inferredcites →https://doi.org/10.48550/arxiv.2103.04628openalex-extracted
Personalized Federated Learning using Hypernetworks
inferredcites →https://doi.org/10.48550/arxiv.2206.02465openalex-extracted
Virtual Homogeneity Learning: Defending against Data Heterogeneity in Federated Learning
inferredcites →https://doi.org/10.57702/zp44cu3gopenalex-extracted
Learning Multiple Layers of Features from Tiny Images
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