A bit-flipping mechanism for wireless federated learning claims Rényi differential privacy from channel noise, but the proof uses an expected bit-level distance rather than a worst-case sensitivity, leaving the guarantee unproven.
Rényi differential privacy,
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.LG 1years
2025 1verdicts
REJECT 1representative citing papers
citing papers explorer
-
Free Privacy Protection for Wireless Federated Learning: Enjoy It or Suffer from It?
A bit-flipping mechanism for wireless federated learning claims Rényi differential privacy from channel noise, but the proof uses an expected bit-level distance rather than a worst-case sensitivity, leaving the guarantee unproven.