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02/15/2022
Federated Learning with Sparsified Model Perturbation: Improving Accuracy under Client-Level Differential Privacy
Federated learning (FL) that enables distributed clients to collaborativ...
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08/20/2020
Conditional Entropy Coding for Efficient Video Compression
We propose a very simple and efficient video compression framework that ...
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03/30/2020
CPFed: Communication-Efficient and Privacy-Preserving Federated Learning
Federated learning is a machine learning setting where a set of edge dev...
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12/05/2019
PolyTransform: Deep Polygon Transformer for Instance Segmentation
In this paper, we propose PolyTransform, a novel instance segmentation a...
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01/12/2019
