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Guarding the Middle: Protecting Intermediate Representations in Federated Split Learning

Big data scenarios, where massive, heterogeneous datasets are distributed across clients, demand scalable, privacy-preserving learning methods.

arXiv cs.LG · · Paper: ~15 min
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Guarding the Middle: Protecting Intermediate Representations in Federated Split Learning

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Big data scenarios, where massive, heterogeneous datasets are distributed across clients, demand scalable, privacy-preserving learning methods.

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