PrivacyPreserving

!pip -q install -U “protobuf<5” “flwr(simulation)” transformers peft accelerate datasets sentencepiece import torch if torch.cuda.is_available(): !pip -q install -U bitsandbytes import os os.environ(“RAY_DISABLE_USAGE_STATS”) = “1” os.environ(“TOKENIZERS_PARALLELISM”) = “false” import math …

In this tutorial, we demonstrate how we simulate a privacy-preserving fraud detection system using federated learning without relying on heavyweight frameworks or complex infrastructure. We build a clean, CPU-friendly setup …