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07/21/2023
MAS: Towards Resource-Efficient Federated Multiple-Task Learning
Federated learning (FL) is an emerging distributed machine learning meth...
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07/11/2023
Combating Data Imbalances in Federated Semi-supervised Learning with Dual Regulators
Federated learning has become a popular method to learn from decentraliz...
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06/09/2023
Is Normalization Indispensable for Multi-domain Federated Learning?
Federated learning (FL) enhances data privacy with collaborative in-situ...
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07/09/2022
Smart Multi-tenant Federated Learning
Federated learning (FL) is an emerging distributed machine learning meth...
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07/03/2022
Chat-to-Design: AI Assisted Personalized Fashion Design
In this demo, we present Chat-to-Design, a new multimodal interaction sy...
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05/24/2022
Optimizing Performance of Federated Person Re-identification: Benchmarking and Analysis
The increasingly stringent data privacy regulations limit the developmen...
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04/09/2022
Divergence-aware Federated Self-Supervised Learning
Self-supervised learning (SSL) is capable of learning remarkable represe...
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04/09/2022
Federated Unsupervised Domain Adaptation for Face Recognition
Given labeled data in a source domain, unsupervised domain adaptation ha...
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08/14/2021
Joint Optimization in Edge-Cloud Continuum for Federated Unsupervised Person Re-identification
Person re-identification (ReID) aims to re-identify a person from non-ov...
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08/14/2021
Collaborative Unsupervised Visual Representation Learning from Decentralized Data
Unsupervised representation learning has achieved outstanding performanc...
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05/17/2021
Towards Unsupervised Domain Adaptation for Deep Face Recognition under Privacy Constraints via Federated Learning
Unsupervised domain adaptation has been widely adopted to generalize mod...
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05/17/2021
EasyFL: A Low-code Federated Learning Platform For Dummies
Academia and industry have developed several platforms to support the po...
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08/26/2020