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  • Locally Differentially Private Bayesian InferenceGoogle TechTalks05:56Feb, 202284backgroundvideo thumbnail for: Locally Differentially Private Bayesian Inference
  • Private Multi-Group AggregationGoogle TechTalks10:20Feb, 202256backgroundvideo thumbnail for: Private Multi-Group Aggregation
  • Private Goodness-of-Fit: A Few Ideas Go a Long WayGoogle TechTalks10:30Feb, 202269backgroundvideo thumbnail for: Private Goodness-of-Fit: A Few Ideas Go a Long Way
  • Privacy Amplification by DecentralizationGoogle TechTalks05:51Feb, 202273backgroundvideo thumbnail for: Privacy Amplification by Decentralization
  • Experimenting w/ Local & Central Differential Privacy for Both Robustness & Privacy in Fed.LearningGoogle TechTalks11:46Feb, 202274backgroundvideo thumbnail for: Experimenting w/ Local & Central Differential Privacy for Both Robustness & Privacy in Fed.Learning
  • When is Memorization of Irrelevant Training Data Necessary for High-Accuracy Learning?Google TechTalks09:47Feb, 202291backgroundvideo thumbnail for: When is Memorization of Irrelevant Training Data Necessary for High-Accuracy Learning?
  • FedVault: Efficient Gradient Outlier Detection for Byzantine-Resilient and Privacy-Preserving FedMLGoogle TechTalks05:40Feb, 202278backgroundvideo thumbnail for: FedVault: Efficient Gradient Outlier Detection for Byzantine-Resilient and Privacy-Preserving FedML
  • Day 2 Lightning Talks: Federated Optimization and AnalyticsGoogle TechTalks01:04:28Feb, 202290backgroundvideo thumbnail for: Day 2 Lightning Talks: Federated Optimization and Analytics
  • Academic Keynote: Systems Support for Federated Computation, Mosharaf Chowdhury (U of Michigan)Google TechTalks34:59Feb, 202289backgroundvideo thumbnail for: Academic Keynote: Systems Support for Federated Computation, Mosharaf Chowdhury (U of Michigan)
  • Academic Keynote: Differentially Private Covariance-Adaptive Mean Estimation, Adam Smith (BU)Google TechTalks36:16Feb, 202263backgroundvideo thumbnail for: Academic Keynote: Differentially Private Covariance-Adaptive Mean Estimation, Adam Smith (BU)
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