Weiming Zhuang | DeepAI

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Dongzhan Zhou
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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...

0 Weiming Zhuang, et al. ∙

∙ 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...

0 Sikai Bai, et al. ∙

∙ 06/09/2023

Is Normalization Indispensable for Multi-domain Federated Learning?

Federated learning (FL) enhances data privacy with collaborative in-situ...

0 Weiming Zhuang, et al. ∙

∙ 07/09/2022

Smart Multi-tenant Federated Learning

Federated learning (FL) is an emerging distributed machine learning meth...

0 Weiming Zhuang, et al. ∙

∙ 07/03/2022

Chat-to-Design: AI Assisted Personalized Fashion Design

In this demo, we present Chat-to-Design, a new multimodal interaction sy...

0 Weiming Zhuang, et al. ∙

∙ 05/24/2022

Optimizing Performance of Federated Person Re-identification: Benchmarking and Analysis

The increasingly stringent data privacy regulations limit the developmen...

0 Weiming Zhuang, et al. ∙

∙ 04/09/2022

Divergence-aware Federated Self-Supervised Learning

Self-supervised learning (SSL) is capable of learning remarkable represe...

0 Weiming Zhuang, et al. ∙

∙ 04/09/2022

Federated Unsupervised Domain Adaptation for Face Recognition

Given labeled data in a source domain, unsupervised domain adaptation ha...

0 Weiming Zhuang, et al. ∙

∙ 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...

0 Weiming Zhuang, et al. ∙

∙ 08/14/2021

Collaborative Unsupervised Visual Representation Learning from Decentralized Data

Unsupervised representation learning has achieved outstanding performanc...

0 Weiming Zhuang, et al. ∙

∙ 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...

0 Weiming Zhuang, et al. ∙

∙ 05/17/2021

EasyFL: A Low-code Federated Learning Platform For Dummies

Academia and industry have developed several platforms to support the po...

0 Weiming Zhuang, et al. ∙

∙ 08/26/2020

Performance Optimization for Federated Person Re-identification via Benchmark Analysis

Federated learning is a privacy-preserving machine learning technique th...

13 Weiming Zhuang, et al. ∙

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