Marco Lorenzi
10 papers · 2018–2025 · 5 venues · across top CS/AI venues
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Achievements
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🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (21) 🐣 Hot Topic Early Bird 🏃 Academic Marathon · Sprint
👥
Mega-Team · Squad
❓
The Questioner
🔥
Unstoppable · Bronze
💎
Century Club · Bronze
🚀
Conference Pioneer
Top co-authors
Research topics
Machine Learning
(9)
Optimization & Theory
(5)
Artificial Intelligence
(4)
Core Methods
(4)
Learning Paradigms · Artificial Intelligence
(4)
Mathematics & Optimization
(3)
Application Areas
(3)
Learning Paradigms · Machine Learning
(3)
Learning Types
(3)
Deep Learning
(2)
Models
(2)
Optimization
(2)
Core AI
(1)
Mathematics
(1)
Statistics
(1)
Keywords
federated learning
(3)
heterogeneous data
(2)
model aggregation
(2)
unsupervised learning
(1)
non-convex optimization
(1)
uncertainty quantification
(1)
adversarial learning
(1)
convergence analysis
(1)
gradient aggregation
(1)
distributed learning
(1)
privacy preservation
(1)
machine unlearning
(1)
monotonic regression
(1)
variance reduction
(1)
asynchronous optimization
(1)
medical imaging
(1)
stochastic variational inference
(1)
latent representation
(1)
marginal distribution
(1)
stochastic gradient descent
(1)
Papers
When to Forget? Complexity Trade-offs in Machine Unlearning
ICML 2025
Federated Multi-Centric Image Segmentation with Uneven Label Distribution
MICCAI 2024
On Tail Decay Rate Estimation of Loss Function Distributions
JMLR 2024
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
FLamby: Datasets and Benchmarks for Cross-Silo Federated Learning in Realistic Healthcare Settings
NeurIPS 2022
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
Sparse Multi-Channel Variational Autoencoder for the Joint Analysis of Heterogeneous Data
ICML 2019
Constraining the Dynamics of Deep Probabilistic Models
ICML 2018