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02/09/2023
Towards Fairer and More Efficient Federated Learning via Multidimensional Personalized Edge Models
Federated learning (FL) is an emerging technique that trains massive and...
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02/09/2023
Data Quality-aware Mixed-precision Quantization via Hybrid Reinforcement Learning
Mixed-precision quantization mostly predetermines the model bit-width se...
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12/19/2022
Exploring Optimal Substructure for Out-of-distribution Generalization via Feature-targeted Model Pruning
Recent studies show that even highly biased dense networks contain an un...
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12/07/2022
Efficient Stein Variational Inference for Reliable Distribution-lossless Network Pruning
Network pruning is a promising way to generate light but accurate models...
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11/14/2022
Feature Correlation-guided Knowledge Transfer for Federated Self-supervised Learning
To eliminate the requirement of fully-labeled data for supervised model ...
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06/15/2021
