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04/28/2023
Hyperparameter Optimization through Neural Network Partitioning
Well-tuned hyperparameters are crucial for obtaining good generalization...
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06/22/2022
Quantization Robust Federated Learning for Efficient Inference on Heterogeneous Devices
Federated Learning (FL) is a machine learning paradigm to distributively...
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11/19/2021
An Expectation-Maximization Perspective on Federated Learning
Federated learning describes the distributed training of models across m...
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11/09/2021
DP-REC: Private Communication-Efficient Federated Learning
Privacy and communication efficiency are important challenges in federat...
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07/14/2021
Federated Mixture of Experts
Federated learning (FL) has emerged as the predominant approach for coll...
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10/03/2018