Yann Fraboni
4 papers · 2021–2024 · 3 venues · across top CS/AI venues
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Achievements
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Conference Polyglot · Bronze
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Interdisciplinary Bridge · Bronze
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Taxonomy Completionist
(11)
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Hot Topic Early Bird
Venues
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Research topics
Keywords
federated learning
(3)
model aggregation
(2)
adversarial learning
(1)
non-convex optimization
(1)
convergence analysis
(1)
gradient aggregation
(1)
distributed learning
(1)
privacy preservation
(1)
machine unlearning
(1)
variance reduction
(1)
asynchronous optimization
(1)
heterogeneous data
(1)
client selection
(1)
non-iid data
(1)
clustered sampling
(1)
federated unlearning
(1)
client unlearning
(1)
federated optimization
(1)
heterogeneous client
(1)
free-rider attack
(1)
Papers
SIFU: Sequential Informed Federated Unlearning for Efficient and Provable Client Unlearning in Federated Optimization
AISTATS 2024
A General Theory for Federated Optimization with Asynchronous and Heterogeneous Clients Updates
JMLR 2023
Clustered Sampling: Low-Variance and Improved Representativity for Clients Selection in Federated Learning
ICML 2021
Free-rider Attacks on Model Aggregation in Federated Learning
AISTATS 2021