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2104.14362
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From Distributed Machine Learning to Federated Learning: A Survey
29 April 2021
Ji Liu
Jizhou Huang
Yang Zhou
Xuhong Li
Shilei Ji
Haoyi Xiong
Dejing Dou
FedML
OOD
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Papers citing
"From Distributed Machine Learning to Federated Learning: A Survey"
50 / 117 papers shown
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Stochastic Controlled Averaging for Federated Learning with Communication Compression
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Paolo Soda
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Zachary B. Charles
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FedML
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Federated Myopic Community Detection with One-shot Communication
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Jean Honorio
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FedML
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Adversarial Robustness under Long-Tailed Distribution
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PyVertical: A Vertical Federated Learning Framework for Multi-headed SplitNN
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Architectural Patterns for the Design of Federated Learning Systems
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GraphFL: A Federated Learning Framework for Semi-Supervised Node Classification on Graphs
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Yiran Chen
138
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Improving Federated Relational Data Modeling via Basis Alignment and Weight Penalty
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Federated Dynamic GNN with Secure Aggregation
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From Federated Learning to Federated Neural Architecture Search: A Survey
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Group Knowledge Transfer: Federated Learning of Large CNNs at the Edge
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Flower: A Friendly Federated Learning Research Framework
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127
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Data Poisoning Attacks Against Federated Learning Systems
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FetchSGD: Communication-Efficient Federated Learning with Sketching
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Federated Learning with Compression: Unified Analysis and Sharp Guarantees
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Backdoor Attacks on Federated Meta-Learning
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Secure Byzantine-Robust Machine Learning
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Vertically Federated Graph Neural Network for Privacy-Preserving Node Classification
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Exploiting Defenses against GAN-Based Feature Inference Attacks in Federated Learning
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65
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PrivFL: Practical Privacy-preserving Federated Regressions on High-dimensional Data over Mobile Networks
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Adaptive Personalized Federated Learning
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MiLeNAS: Efficient Neural Architecture Search via Mixed-Level Reformulation
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