Youssef Allouah
13 papers · 2021–2025 · 5 venues · across top CS/AI venues
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Achievements
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🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (28) 🌍 Conference Polyglot · Silver 🤝 Dynamic Duo (12) ⚡ Prolific Year · Productive
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Century Club · Bronze
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(11)
Optimization & Theory
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(3)
Learning Paradigms · Machine Learning
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Learning Paradigms · Artificial Intelligence
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Keywords
federated learning
(4)
gradient descent
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distributed learning
(4)
adversarial robustness
(3)
data heterogeneity
(3)
differential privacy
(2)
model aggregation
(2)
unlearning
(2)
byzantine resilience
(2)
partition function
(1)
empirical risk minimization
(1)
utility optimization
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robust optimization
(1)
mean estimation
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stochastic gradient descent
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local updates
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pointwise mutual information
(1)
machine learning
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communication efficiency
(1)
convergence
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Papers
Adaptive Gradient Clipping for Robust Federated Learning
ICLR 2025
Certified Unlearning for Neural Networks
ICML 2025
The Utility and Complexity of In- and Out-of-Distribution Machine Unlearning
ICLR 2025
Towards Trustworthy Federated Learning with Untrusted Participants
ICML 2025
Byzantine-Robust Federated Learning: Impact of Client Subsampling and Local Updates
ICML 2024
Fine-Tuning Personalization in Federated Learning to Mitigate Adversarial Clients
NeurIPS 2024
Revisiting Ensembling in One-Shot Federated Learning
NeurIPS 2024
Robust Sparse Voting
AISTATS 2024
The Privacy Power of Correlated Noise in Decentralized Learning
ICML 2024
Fixing by Mixing: A Recipe for Optimal Byzantine ML under Heterogeneity
AISTATS 2023
On the Privacy-Robustness-Utility Trilemma in Distributed Learning
ICML 2023
Robust Distributed Learning: Tight Error Bounds and Breakdown Point under Data Heterogeneity
NeurIPS 2023
Further results on latent discourse models and word embeddings
JMLR 2021