SSTQ:Privacy-Preserving Vector Quantization via Subsampled Stochastic TurboQuant.

arXiv:2608.05127v3 Announce Type: replace-cross Abstract: Achieving local differential privacy in distributed optimization while maintaining low communication cost remains challenging. Existing vector quantization methods, such as vqSGD, rely on high-dimension