Nearest neighbor mixing can be composed with secure aggregation and private information retrieval to give information-theoretic privacy and Byzantine resilience for heterogeneous federated learning.
Turbo-aggregate: Breaking the quadratic aggregation barrier in secure federated learning,
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Private Aggregation for Byzantine-Resilient Heterogeneous Federated Learning
Nearest neighbor mixing can be composed with secure aggregation and private information retrieval to give information-theoretic privacy and Byzantine resilience for heterogeneous federated learning.