Gradient-tracking Based Differentially Private Distributed Optimization with Enhanced Optimization Accuracy

Yu Xuan, Yongqiang Wang

Privacy protection has become an increasingly pressing requirement in distributed optimization. However, equipping distributed optimization with differential privacy, the state-of-…