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KD3A: Unsupervised Multi-Source Decentralized Domain Adaptation via Knowledge Distillation
Conventional unsupervised multi-source domain adaptation(UMDA) methods a...
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GFL: A Decentralized Federated Learning Framework Based On Blockchain
Due to people's emerging concern about data privacy, federated learning(...
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Federated Unsupervised Representation Learning
To leverage enormous unlabeled data on distributed edge devices, we form...
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Federated Mutual Learning
Federated learning enables collaboratively training machine learning mod...
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Evaluation Framework For Large-scale Federated Learning
Federated learning is proposed as a machine learning setting to enable d...
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Transfer Heterogeneous Knowledge Among Peer-to-Peer Teammates: A Model Distillation Approach
Peer-to-peer knowledge transfer in distributed environments has emerged ...
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Galaxy Learning – A Position Paper
The recent rapid development of artificial intelligence (AI, mainly driv...
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Deep Sequence Learning with Auxiliary Information for Traffic Prediction
Predicting traffic conditions from online route queries is a challenging...
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Generative Creativity: Adversarial Learning for Bionic Design
Bionic design refers to an approach of generative creativity in which a ...
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Dropping Activation Outputs with Localized First-layer Deep Network for Enhancing User Privacy and Data Security
Deep learning methods can play a crucial role in anomaly detection, pred...
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Semantic Image Synthesis via Adversarial Learning
In this paper, we propose a way of synthesizing realistic images directl...
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DeepSleepNet: a Model for Automatic Sleep Stage Scoring based on Raw Single-Channel EEG
The present study proposes a deep learning model, named DeepSleepNet, fo...
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Unsupervised Image-to-Image Translation with Generative Adversarial Networks
It's useful to automatically transform an image from its original form t...
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Mixed Neural Network Approach for Temporal Sleep Stage Classification
This paper proposes a practical approach to addressing limitations posed...
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Noise Robust IOA/CAS Speech Separation and Recognition System For The Third 'CHIME' Challenge
This paper presents the contribution to the third 'CHiME' speech separat...
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