deactivate
发表于 2025-3-25 05:55:42
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Processes
发表于 2025-3-25 08:07:51
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intangibility
发表于 2025-3-25 14:37:13
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Suggestions
发表于 2025-3-25 18:51:24
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射手座
发表于 2025-3-25 20:53:51
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懒惰民族
发表于 2025-3-26 02:23:36
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实施生效
发表于 2025-3-26 07:41:36
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terazosin
发表于 2025-3-26 09:58:19
Lecture Notes in Computer Sciencef FedAvgCKA across various federated learning scenarios and datasets, showcasing its ability to maintain high main task accuracy and significantly reduce backdoor attack success rates even in non-iid settings.
Camouflage
发表于 2025-3-26 13:06:59
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思想流动
发表于 2025-3-26 20:49:28
VFLIP: A Backdoor Defense for Vertical Federated Learning via Identification and Purificationuently, VFLIP conducts purification which removes the embeddings identified as malicious and reconstructs all the embeddings based on the remaining embeddings. We conduct extensive experiments on CIFAR10, CINIC10, Imagenette, NUS-WIDE, and Bank-Marketing to demonstrate that VFLIP can effectively mitigate backdoor attacks in VFL.