Dyn-D${}^2$P: Dynamic Differentially Private Decentralized Learning with Provable Utility Guarantee

Zehan Zhu, Yan Huang, Xin Wang +2

Most existing decentralized learning methods with differential privacy (DP) guarantee rely on constant gradient clipping bounds and fixed-level DP Gaussian noises for each node thr…