A Survey of Trustworthy Federated Learning with Perspectives on Security, Robustness, and Privacy. (arXiv:2302.10637v1 [cs.LG])

Trustworthy artificial intelligence (AI) technology has revolutionized daily
life and greatly benefited human society. Among various AI technologies,
Federated Learning (FL) stands out as a promising solution for diverse
real-world scenarios, ranging from risk evaluation systems in finance to
cutting-edge technologies like drug discovery in life sciences. However,
challenges around data isolation and privacy threaten the trustworthiness of FL
systems. Adversarial attacks against data privacy, learning algorithm
stability, and system confidentiality are particularly concerning in the
context of distributed training …

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