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Release v1.3.0
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@mgqa34 mgqa34 released this 08 Sep 06:22
· 212 commits to main since this release
v1.3.0
c5d1bb3
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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
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