The author introduces time-aware projection algorithms for node-private graph statistics, ensuring stability and privacy in continual release settings.
개인 정보 보호를 위한 로컬 미분적 코어 분해 및 밀집 부분 그래프에 대한 엄격한 한계
Verbesserung der Genauigkeit und Effizienz von Differential Privacy Core Decomposition und Densest Subgraph.
Developing a differentially private dual gradient tracking algorithm for secure distributed resource allocation.