Federated learning trains across decentralized devices without pooling data, yet a malicious participant can poison the shared model. What lands is the privacy mechanism plus the outlier-resistant aggregation defenses. Here is the answer.
Updated Sep 2026 · Grounded in real GenAI, LLM, and AI/ML engineering interview loops and written to a senior-engineer editorial bar.
Federated learning trains across decentralized devices without pooling data, yet a malicious participant can poison the shared model. What lands is the privacy mechanism plus the outlier-resistant aggregation defenses. Here is the answer.
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