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09/11/2023
Towards Federated Learning Under Resource Constraints via Layer-wise Training and Depth Dropout
Large machine learning models trained on diverse data have recently seen...
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05/23/2023
Federated Variational Inference: Towards Improved Personalization and Generalization
Conventional federated learning algorithms train a single global model b...
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09/30/2022
Federated Training of Dual Encoding Models on Small Non-IID Client Datasets
Dual encoding models that encode a pair of inputs are widely used for re...
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04/15/2021
Camera View Adjustment Prediction for Improving Image Composition
Image composition plays an important role in the quality of a photo. How...
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01/30/2018
Links: A High-Dimensional Online Clustering Method
We present a novel algorithm, called Links, designed to perform online c...
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10/28/2017