arxiv
PublishedJuly 3, 2026 at 4:00 AM
—neutral
Privacy-Preserving and Verifiable Approximate Distributed Coded Computing
Publisher summary· verbatim
arXiv:2607.02187v1 Announce Type: new Abstract: Distributed machine learning enables collaborative model training without centralizing data, but it also exposes learning processes to privacy leakage and malicious manipulation. Existing defenses typically address these threats in isolation and are of
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Originally published on arxiv ↗