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62 Results
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Workshop
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Privacy-Preserving Federated Heavy Hitter Analytics for Non-IID Data Jiaqi Shao · Shanshan Han · Chaoyang He · Bing Luo |
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Workshop
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A Privacy-Friendly Approach to Data Valuation Jiachen Wang · Yuqing Zhu · Yu-Xiang Wang · Ruoxi Jia · Prateek Mittal |
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Poster
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Wed 17:00 |
On the Privacy-Robustness-Utility Trilemma in Distributed Learning Youssef Allouah · Rachid Guerraoui · Nirupam Gupta · Rafael Pinot · John Stephan |
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Workshop
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Privacy Amplification via Compression: Achieving the Optimal Privacy-Accuracy-Communication Trade-off in Distributed Mean Estimation Wei-Ning Chen · Dan Song · Ayfer Ozgur · Peter Kairouz |
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Workshop
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Exact Optimality in Communication-Privacy-Utility Tradeoffs Berivan Isik · Wei-Ning Chen · Ayfer Ozgur · Tsachy Weissman · Albert No |
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Workshop
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On the Challenges of Deploying Privacy-Preserving Synthetic Data in the Enterprise Lauren Arthur · Jason Costello · Jonathan Hardy · Will O’Brien · James Rea · Gareth Rees · Georgi Ganev |
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Poster
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Thu 13:30 |
Privacy-Aware Compression for Federated Learning Through Numerical Mechanism Design Chuan Guo · Kamalika Chaudhuri · Pierre Stock · Michael Rabbat |
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Oral
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Wed 19:48 |
HETAL: Efficient Privacy-preserving Transfer Learning with Homomorphic Encryption Seewoo Lee · Garam Lee · Jung Woo Kim · Junbum Shin · Mun-Kyu Lee |
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Poster
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Tue 14:00 |
FedVS: Straggler-Resilient and Privacy-Preserving Vertical Federated Learning for Split Models Songze Li · Duanyi YAO · Jin Liu |
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Poster
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Wed 17:00 |
HETAL: Efficient Privacy-preserving Transfer Learning with Homomorphic Encryption Seewoo Lee · Garam Lee · Jung Woo Kim · Junbum Shin · Mun-Kyu Lee |
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Poster
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Tue 17:00 |
Algorithms for bounding contribution for histogram estimation under user-level privacy Yuhan Liu · Ananda Suresh · Wennan Zhu · Peter Kairouz · Marco Gruteser |
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Poster
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Tue 17:00 |
Federated Linear Contextual Bandits with User-level Differential Privacy Ruiquan Huang · Huanyu Zhang · Luca Melis · Milan Shen · Meisam Hejazinia · Jing Yang |