@article{fastprivateandprotectedsafeguardingdatap,
  title = {Fast, Private, and Protected: Safeguarding Data Privacy and Defending Against Model Poisoning Attacks in Federated Learning},
  author = {Nicolas Riccieri Gardin Assumpcao and Leandro Villas},
  year = {2025},
  eprint = {2511.02797},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2511.02797},
}