-
Notifications
You must be signed in to change notification settings - Fork 214
New issue
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
added pfl paper list #72
Merged
Merged
+32
−1
Conversation
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
xieyxclack
approved these changes
May 9, 2022
There was a problem hiding this comment.
Choose a reason for hiding this comment
The reason will be displayed to describe this comment to others. Learn more.
Approve!
cheneydon
pushed a commit
to cheneydon/FederatedScope
that referenced
this pull request
Jun 14, 2022
Co-authored-by: yuexiang.xyx <[email protected]> Update `tests/run.py` for Jenkins server (alibaba#4) just a workaround Feature/synchronize (alibaba#3) sync with the master branch of our original gitlab Feature/config refactor (alibaba#5) refactored configuration-related code modify README; minor fix (alibaba#6) Updated README fix gan cra loss_batch-> loss_task bug improved the environments set-up guidance improved the environments set-up guidance improved the environments set-up guidance Fix setup requirements. Update required python version to 3.9. updated auto-doc component according to the latest changes [Feature] Add dropout and log training metric. (alibaba#11) * Add dropout option for CNN and NLP model; Add training metric to logs. * allow users to determine whether to conduct evaluation on a specific split * Enable metric in global eval for users to determine whether to conduct evaluation on a specific split. * fix minor bug when importing nlp loss * Replace and remove `validate` with `evaluate(target_data_split_name=split)` to keep code clean. enabled the log file name valid in windows environment (alibaba#13) * enabled the log file name valid in windows environment update readme (alibaba#15) * update README added a demo for black-box optimization (alibaba#14) - added a demo for black-box optimization - enabled installation with cuda10 [Bugfix] fixed the invalid logger set-up if the logging is used before we call setup_logger (alibaba#17) * fixed the invalid logger set-up if the `logging` is used before we call `setup_logger` Change source of `download_url` from our own and fix `README` (alibaba#20) * Change source of `download_url` from our own `utils.py` and fix `README.md`. add logo (alibaba#26) - add logo - add more icons modify grpc_comm according to official tutorial (alibaba#25) fix path issue fix wrong logger usage reformatted Communication efficiency optimization (alibaba#19) * minor fixed for distributed mode * For the communication efficiency: dynamic type selection in gRPC servicer; transformer & parser Refactored the logger by reducing its redundancy and fixed some minor issues (alibaba#29) * Reducing the redundancy of the logger Update test_mf.py modify the unit test of mf task Refactor splitter&transform; Modify some data related config; Add external dataset. (alibaba#33) [Feature] FedEx (alibaba#37) [Feature] FedEx (alibaba#37) [Hotfix] print the missing ``Final`` results (alibaba#41) * hotfix for the missing ``Final`` results print Add pre-trained transformers as NLP model. TODO:@ZHEN, please fix online aggregator when the device is not specific. Add a example for transformers. Fix url. (alibaba#46) - added the local training baseline - enabled each client has its own early-stopper formatted by linter formatted by linter not use early_stopper in non-local mode bugfix for the cast "sample_client_num = -1" added global training mode via a proxy client that holds all data Fix un-consistent device for the PIA test added local fine-tuning before local evaluation linter format bugfix for fedex update README (alibaba#49) Feature/attack doc (alibaba#50) * improved the doc for attack module added API comments (alibaba#52) Fix docs about graph. (alibaba#51) Add api ref for mf task and context (alibaba#53) * add mf api reference and modify README.md typos fix Fix minor bugs Timeout strategy and minimal received number (alibaba#36) * For async: timeout strategy and minimal received number modify api reference (alibaba#56) update doc of core (alibaba#57) Add datasets from hugging face. Formatted and fix minor bugs. Add datasets and scripts for openml. Modify the example `yaml` of openml datasets. Add materials (paper lists, tutorials) (alibaba#60) * add FL paper list Add paper lists (alibaba#61) * add FL paper list fixed some missing API reference in fs.core (alibaba#54) As the title says. update release version (alibaba#64) Update graph paper list. (alibaba#65) Add paper list for FedHPO (alibaba#67) * added paper list for fedhpo rename and modify some val Add paper list for FedRec (alibaba#68) add paper list for FedRec added pfl paper list (alibaba#72) added pfl paper list hotfix for transformers to avoid import error updated pfl paper list (alibaba#73) updated pfl paper list fix url in dblp_new.py (alibaba#76) update README update debug squad model update update update
AnthonyXuan
pushed a commit
to AnthonyXuan/FederatedScope
that referenced
this pull request
Aug 10, 2023
added pfl paper list
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
Add this suggestion to a batch that can be applied as a single commit.
This suggestion is invalid because no changes were made to the code.
Suggestions cannot be applied while the pull request is closed.
Suggestions cannot be applied while viewing a subset of changes.
Only one suggestion per line can be applied in a batch.
Add this suggestion to a batch that can be applied as a single commit.
Applying suggestions on deleted lines is not supported.
You must change the existing code in this line in order to create a valid suggestion.
Outdated suggestions cannot be applied.
This suggestion has been applied or marked resolved.
Suggestions cannot be applied from pending reviews.
Suggestions cannot be applied on multi-line comments.
Suggestions cannot be applied while the pull request is queued to merge.
Suggestion cannot be applied right now. Please check back later.
as the title says