News Board

  • [PIN] This project is part of the PALISADE-X project funded by DOE ASCR.

  • [PIN] We preprinted a paper describing the design of APPFLx on arXiv.

  • We have integrated HuggingFace with APPFLx! You can now employ pretrained model on HuggingFace for federated learning experiments on APPFLx.

  • We added a resource monitor in the Federation Information page for checking the resource utilizations of the client computing endpoints.

  • We supported Federated Asynchronous algorithm in APPFLx for asynchronous federated learning experiments!

Roadmap

  • Client data distribution visualization: We will soon add the capability for users to check the distribution of data accross different federated learning sites.

  • FedBuffer asynchronous algorithm: Integrate FedBuffer into APPFLx.

  • LoRA fine-tuning: Integrate LoRA fine-tuning methods to APPFLx to support fine-tuning LLM in a federated manner.