FLShield: A Validation Based Federated Learning Framework to Defend Against Poisoning Attacks. (arXiv:2308.05832v1 [cs.CR])

Federated learning (FL) is revolutionizing how we learn from data. With its
growing popularity, it is now being used in many safety-critical domains such
as autonomous vehicles and healthcare. Since thousands of participants can
contribute in this collaborative setting, it is, however, challenging to ensure
security and reliability of such systems. This highlights the need to design FL
systems that are secure and robust against malicious participants' actions
while also ensuring high utility, privacy of local data, and efficiency. In …

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