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Optimized differential privacy implementation

Open ahzero7d1 opened this issue 1 month ago • 0 comments

  1. Gaussian noise calibration implementation

    • Added Gaussian noise calibration for differential privacy (DP) based on privacy budget (epsilon), failure possibility (delta) and weight clipping radius

  2. Adaptive clipping mechanism

    • Implemented adaptive clipping radius using historical moving average of weight updates

  3. cli testing tool modification

  4. Webapp interface updates

    • Added UI fields for the new DP parameters

ahzero7d1 avatar Dec 04 '25 23:12 ahzero7d1