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"FedAA: Using Non-sensitive Modalities to Improve Federated Learning while ..."

Dong Chen et al. (2023)

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DOI: 10.1145/3581783.3611953

access: closed

type: Conference or Workshop Paper

metadata version: 2024-02-15

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  - conf/mm/ChenTSWXZY23
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Dong Chen, Siliang Tang, Zijin Shen, Guoming Wang, Jun Xiao, Yueting Zhuang, Carl Yang:
FedAA: Using Non-sensitive Modalities to Improve Federated Learning while Preserving Image Privacy. ACM Multimedia 2023: 3796-3806

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