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Major Features and Improvements

• Adapt to fate-v2.0 framework:
  • Migrate parameter-efficient fine-tuning training methods and models.
  • Migrate Standard Offsite-Tuning and Extended Offsite-Tuning（Federated Offsite-Tuning+)
  • Newly trainer，dataset, data_processing function design
• New FedKSeed Federated Tuning Algorithm: train large language models in a federated learning setting with extremely low communication cost