Yann Fraboni
4 papers · 2021–2024 · 3 conferences · across top CS/AI conferences
Achievements
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π Interdisciplinary Bridge π§ Keyword Pioneer π£ Hot Topic Early Bird π Conference Polyglot (3) π Cross-Pollinator (10)
πΊοΈ
Taxonomy Completionist
(12)
Conferences
AISTATS (2)
ICML (1)
JMLR (1)
Top co-authors
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 datum
(1)
client selection
(1)
non-iid datum
(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
Free-rider Attacks on Model Aggregation in Federated Learning
AISTATS 2021
Clustered Sampling: Low-Variance and Improved Representativity for Clients Selection in Federated Learning
ICML 2021