Gradient sparsification for efficient wireless federated learning with differential privacy
Kang Wei, Jun Li, Chuan Ma, Ming Ding, Feng Shu, Haitao Zhao, Wen Chen, Hongbo Zhu
Topics & Concepts
Computer scienceDifferential privacyUploadExploitScheduling (production processes)WirelessEmpirical risk minimizationUpper and lower boundsComputationConvex optimizationStochastic gradient descentLyapunov optimizationConvergence (economics)Optimization problemMathematical optimizationAlgorithmArtificial intelligenceRegular polygonArtificial neural networkMathematicsTelecommunicationsEconomicsMathematical analysisLyapunov redesignComputer securityGeometryChaoticEconomic growthLyapunov exponentOperating systemPrivacy-Preserving Technologies in DataAge of Information OptimizationVehicular Ad Hoc Networks (VANETs)