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Spotlight
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Tue 8:40
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Fishing for User Data in Large-Batch Federated Learning via Gradient Magnification
Yuxin Wen · Jonas Geiping · Liam Fowl · Micah Goldblum · Tom Goldstein
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Poster
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Wed 15:30
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Improved Rates for Differentially Private Stochastic Convex Optimization with Heavy-Tailed Data
Gautam Kamath · Xingtu Liu · Huanyu Zhang
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Oral
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Wed 11:00
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Improved Rates for Differentially Private Stochastic Convex Optimization with Heavy-Tailed Data
Gautam Kamath · Xingtu Liu · Huanyu Zhang
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Spotlight
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Wed 13:45
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Hermite Polynomial Features for Private Data Generation
Margarita Vinaroz · Mohammad-Amin Charusaie · Frederik Harder · Kamil Adamczewski · Mi Jung Park
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Poster
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Thu 15:00
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Shuffle Private Linear Contextual Bandits
Sayak Ray Chowdhury · Xingyu Zhou
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Poster
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Thu 15:00
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Task-aware Privacy Preservation for Multi-dimensional Data
Jiangnan Cheng · Ao Tang · Sandeep Chinchali
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Poster
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Wed 15:30
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The Poisson Binomial Mechanism for Unbiased Federated Learning with Secure Aggregation
Wei-Ning Chen · Ayfer Ozgur · Peter Kairouz
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Oral
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Wed 14:05
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The Poisson Binomial Mechanism for Unbiased Federated Learning with Secure Aggregation
Wei-Ning Chen · Ayfer Ozgur · Peter Kairouz
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Poster
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Tue 15:30
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FriendlyCore: Practical Differentially Private Aggregation
Eliad Tsfadia · Edith Cohen · Haim Kaplan · Yishay Mansour · Uri Stemmer
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Poster
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Wed 15:30
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Understanding Clipping for Federated Learning: Convergence and Client-Level Differential Privacy
xinwei zhang · Xiangyi Chen · Mingyi Hong · Steven Wu · Jinfeng Yi
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Spotlight
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Wed 13:35
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A Tree-based Model Averaging Approach for Personalized Treatment Effect Estimation from Heterogeneous Data Sources
Xiaoqing (Ellen) Tan · Chung-Chou H. Chang · Ling Zhou · Lu Tang
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Spotlight
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Wed 14:25
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Faster Privacy Accounting via Evolving Discretization
Badih Ghazi · Pritish Kamath · Ravi Kumar · Pasin Manurangsi
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