Praneeth Vepakomma
2 indexed papers
Recent (6 mo)
2With code
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226
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ML×2Crypto×2Stats ML×1
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Research Timeline
2026
Combinatorial Privacy: Private Multi-Party Bitstream Grand Sum by Hiding in Birkhoff Polytopes
The paper introduces PolyVeil, a protocol for private Boolean summation that uses permutation matrices in the Birkhoff polytope, achieving strong security guarantees while highlighting a fundamental trade-off between the required data view for cryptographic hardness and differential privacy.
Modulated learning for private and distributed regression with just a single sample per client device
The paper proposes a novel method for federated learning that allows devices holding only a single data sample to collaboratively train an accurate, privacy-preserving global model.
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Papers
cs.LGcs.CRstat.MLRecentMay 8, 2026
Modulated learning for private and distributed regression with just a single sample per client device
The paper proposes a novel method for federated learning that allows devices holding only a single data sample to collaboratively train an accurate, privacy-preserving global model.
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cs.CRcs.LGRecentMar 24, 2026