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PIECK

Preventing the Popular Item Embedding Based Attack in Federated Recommendations Overview

Requirements

  • PyTorch
  • NumPy

Files

MF-FRS/DL-FRS

  • parese.py: Hyperparameter setting for PIECK.
  • attack.py: malicious users
  • client.py: benign users & benign users with defense
  • server.py: server aggregation and defense
  • defense.py: federated defenses
  • data.py: data process
  • evaluate.py: ER@K & HR@K
  • main: Core code for PIECK, Logic, and interaction throughout the pipeline.

Usage

  1. Download ML-100K, ML-1M, and AZ datasets or Execute the program default download;
  2. Set parameters in parese.py;
  3. Execute main.py to run the PIECK.

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[ICDE 2024] Preventing the Popular Item Embedding Based Attack in Federated Recommendations

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