Nidham Gazagnadou
4 papers · 2019–2024 · 3 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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Conference Polyglot ยท Bronze
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Academic Marathon ยท Sprint
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Interdisciplinary Bridge ยท Bronze
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Hot Topic Early Bird
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The Questioner
Venues
Top co-authors
Research topics
Keywords
stochastic gradient
(2)
variance reduction
(2)
stochastic optimization
(1)
non-convex optimization
(1)
human perception
(1)
image reconstruction
(1)
network pruning
(1)
gradient estimation
(1)
empirical risk minimization
(1)
condition number
(1)
semantic similarity
(1)
personalized model
(1)
privacy leakage
(1)
stochastic variance reduced gradient
(1)
mini-batch size
(1)
step size
(1)
model heterogeneity
(1)
reconstruction attack
(1)
model privacy
(1)
mini-batch learning
(1)
Papers
FedP3: Federated Personalized and Privacy-friendly Network Pruning under Model Heterogeneity
ICLR 2024
Privacy Assessment on Reconstructed Images: Are Existing Evaluation Metrics Faithful to Human Perception?
NeurIPS 2023
Optimal Mini-Batch and Step Sizes for SAGA
ICML 2019
Towards closing the gap between the theory and practice of SVRG
NeurIPS 2019