Laetitia Kameni
6 papers · 2021–2024 · 4 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 · Bronze
🌉
Interdisciplinary Bridge · Bronze
🗺️
Taxonomy Completionist
(19)
🐣
Hot Topic Early Bird
Venues
Top co-authors
Research topics
Machine Learning
(6)
Learning Paradigms · Machine Learning
(6)
Artificial Intelligence
(5)
Learning Paradigms · Artificial Intelligence
(5)
Learning Types
(5)
Mathematics & Optimization
(2)
Core Methods
(2)
Optimization
(2)
Optimization & Theory
(2)
Application Areas
(1)
Bayesian & Probabilistic
(1)
Keywords
federated learning
(5)
distributed learning
(2)
stochastic gradient descent
(1)
multi-task learning
(1)
non-convex optimization
(1)
binary classification
(1)
convergence analysis
(1)
gradient aggregation
(1)
expectation maximization
(1)
privacy preservation
(1)
machine unlearning
(1)
model aggregation
(1)
empirical risk minimization
(1)
variance reduction
(1)
asynchronous optimization
(1)
k-nearest neighbor
(1)
data stream
(1)
personalized model
(1)
heterogeneous data
(1)
client selection
(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
Federated Learning for Data Streams
AISTATS 2023
Personalized Federated Learning through Local Memorization
ICML 2022
Clustered Sampling: Low-Variance and Improved Representativity for Clients Selection in Federated Learning
ICML 2021
Federated Multi-Task Learning under a Mixture of Distributions
NeurIPS 2021