Luyang Gai

BIQ: Bisection Interval Quantization for Communication-efficient Federated Learning

Quantization is a pivotal technique for enhancing communication efficiency in Federated Learning (FL). Traditional quantization methods often set uniform intervals, may fail to adequately characterize non-uniform data distributions, thus leading to substantial estimation errors and degrated model pe