Privacy and robustness in federated learning: attacks and defenses
As data are increasingly being stored in different silos and societies becoming more aware of data privacy issues, the traditional centralized training of artificial intelligence (AI) models is facing efficiency and privacy challenges. Recently, federated learning (FL) has emerged as an alternative...
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Main Authors: | , , , , , , , |
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格式: | Article |
語言: | English |
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2023
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在線閱讀: | https://hdl.handle.net/10356/164531 |
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