qbc

Results 19 issues of qbc

an example for seCure lArge-scalE SpArse logistic Regression (caesar) vertical federated learning

enhancement

-) move quantization and dequantization from server.py and client.py to message.py -) monitor training time, message compression time, message sending time, max memory cost, and max GPU cost

-) add ss evaluation for tree-based model -) add ss test in test for tree-based models -) construct MultiplicativeSecretSharing -) wrap ss multiplication as a wrapper in core.secret_sharing TODO: -)...

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ready_for_review
FS-LLM

To assess the performance of our fine-tuned model, we leverage the Rouge-L metric and conduct experiments with a large number of clients, utilizing the Dolly-15K dataset as our training corpus....

ready_for_review
FS-LLM

As the title says.

enhancement

## Description Now after copying html config and saving as xxx.json, one can run `as_gradio xxx.json`. ## Checklist Please check the following items before code is ready to be reviewed....

ready for review

## Description Add dashscope application ## Checklist Please check the following items before code is ready to be reviewed. - [ ] Code has passed all tests - [ ]...

## AgentScope Version 1.0.9dev ## Description As the title says. ## Checklist Please check the following items before code is ready to be reviewed. - [ ] Code has been...