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Thank you for your amazing work and open-souring the implementation.
I wonder why in the Table 1 of your paper, the results of
pFedPrompt
PromptFL+FT
PromptFL+FedPer
PromptFL+FedAMP
are exactly the same (same mean and same std) as the corresponding results in pFedPrompt paper's [1] Table 1? If the federated dataset partition and the seeds for running these experiments are the same as pFedPrompt's experiments, why are the results of PromptFL and PromptFL+FedProx in your experiments different from theirs?
[1] Guo, Tao, Song Guo, and Junxiao Wang. "Pfedprompt: Learning personalized prompt for vision-language models in federated learning." In Proceedings of the ACM Web Conference 2023, pp. 1364-1374. 2023.
The text was updated successfully, but these errors were encountered:
Thank you for your amazing work and open-souring the implementation.
I wonder why in the Table 1 of your paper, the results of
are exactly the same (same mean and same std) as the corresponding results in pFedPrompt paper's [1] Table 1? If the federated dataset partition and the seeds for running these experiments are the same as pFedPrompt's experiments, why are the results of PromptFL and PromptFL+FedProx in your experiments different from theirs?
[1] Guo, Tao, Song Guo, and Junxiao Wang. "Pfedprompt: Learning personalized prompt for vision-language models in federated learning." In Proceedings of the ACM Web Conference 2023, pp. 1364-1374. 2023.
The text was updated successfully, but these errors were encountered: