ENTITY
Metric differential privacy
Metric differential privacy
PulseAugur coverage of Metric differential privacy — every cluster mentioning Metric differential privacy across labs, papers, and developer communities, ranked by signal.
Total · 30d
2
2 over 90d
Releases · 30d
0
0 over 90d
Papers · 30d
2
2 over 90d
TIER MIX · 90D
TOPICS
RECENT · PAGE 1/1 · 2 TOTAL
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New Federated GNN Framework Enhances Privacy and Communication Efficiency
Researchers have developed CE-FedGNN, a novel framework for federated graph neural networks designed to enhance communication efficiency and privacy. This method avoids sharing raw data or frequent embedding exchanges b…
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New metric-normalized posterior leakage (mPL) enhances privacy for joint AI consumption
Researchers have developed a new privacy metric called Metric-Normalized Posterior Leakage (mPL) to address limitations in existing differential privacy methods, particularly for machine learning systems used under join…