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03/18/2022
Closing the Generalization Gap of Cross-silo Federated Medical Image Segmentation
Cross-silo federated learning (FL) has attracted much attention in medic...
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03/12/2022
Auto-FedRL: Federated Hyperparameter Optimization for Multi-institutional Medical Image Segmentation
Federated learning (FL) is a distributed machine learning technique that...
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02/08/2021
Double Momentum SGD for Federated Learning
Communication efficiency is crucial in federated learning. Conducting ma...
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08/14/2020
Privacy-Preserving Asynchronous Federated Learning Algorithms for Multi-Party Vertically Collaborative Learning
The privacy-preserving federated learning for vertically partitioned dat...
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08/13/2020
Training Faster with Compressed Gradient
Although the distributed machine learning methods show the potential for...
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04/11/2020
Exploit Where Optimizer Explores via Residuals
To train neural networks faster, many research efforts have been devoted...
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02/25/2020
Optimal Gradient Quantization Condition for Communication-Efficient Distributed Training
The communication of gradients is costly for training deep neural networ...
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09/05/2019
