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Major Features and Improvements

• FTL-LLM（Fedrated Learning + Transfer Learning + LLM）
  • Standard Offsite-Tuning and Extended Offsite-Tuning（Federated Offsite-Tuning+）now supported
  • Framework available for Emulator and Adapter development
  • New Offsite-Tuning Trainer introduced
  • Includes built-in models such as GPT-2 family, Llama7b, and Bloom family
• FedIPR
  • Introduced WatermarkDataset as the foundational dataset class for backdoor-based watermarks
  • Added SignConv and SignLayerNorm blocks for feature-based watermark models
  • New FedIPR Trainer available
  • Built-in models with feature-based watermarks include Alexnet, Resnet18, DistilBert, and GPT2
• More models support parameter-efficient fine-tuning: ChatGLM2-6B and Bloom-7B1