Communication-Efficient Byzantine-Resilient Federated Zero-Order Optimization

Afonso de Sá Delgado Neto, Maximilian Egger, Mayank Bakshi, Rawad Bitar
6/20/2024
cs.LGcs.AI

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Abstract

We introduce CYBER-0, the first zero-order optimization algorithm for memory-and-communication efficient Federated Learning, resilient to Byzantine faults. We show through extensive numerical experiments on the MNIST dataset and finetuning RoBERTa-Large that CYBER-0 outperforms state-of-the-art algorithms in terms of communication and memory efficiency while reaching similar accuracy. We provide theoretical guarantees on its convergence for convex loss functions.

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Cite this paper

@article{neto2024communicationefficient,
  title  = {Communication-Efficient Byzantine-Resilient Federated Zero-Order Optimization},
  author = {Afonso de Sá Delgado Neto and Maximilian Egger and Mayank Bakshi and Rawad Bitar},
  year   = {2024},
  eprint = {2406.14362},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2406.14362v1}
}

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