Youssef Allouah
13 papers · 2021–2025 · 5 conferences · across top CS/AI conferences
Achievements
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πΊοΈ Taxonomy Completionist (23) π£ Hot Topic Early Bird π Cross-Pollinator (14) π Renaissance Researcher (6) π Interdisciplinary Bridge
π§
Keyword Pioneer
π
Conference Polyglot
(5)
π€
Dynamic Duo
(12)
β‘
Prolific Year
(5)
π
Century Club
(13)
Conferences
ICML (5)
NIPS (3)
AISTATS (2)
ICLR (2)
JMLR (1)
Top co-authors
Research topics
Keywords
distributed learning
(4)
data heterogeneity
(3)
gradient descent
(2)
byzantine resilience
(2)
federated learning
(2)
model aggregation
(2)
adversarial robustness
(2)
mean estimation
(1)
utility optimization
(1)
partition function
(1)
machine learning
(1)
pointwise mutual information
(1)
communication efficiency
(1)
distributed machine learning
(1)
generative model
(1)
byzantine fault tolerance
(1)
one-shot federated learning
(1)
model ensembling
(1)
client-server architecture
(1)
recommender system
(1)
Papers
Adaptive Gradient Clipping for Robust Federated Learning
ICLR 2025
The Utility and Complexity of In- and Out-of-Distribution Machine Unlearning
ICLR 2025
Towards Trustworthy Federated Learning with Untrusted Participants
ICML 2025
Certified Unlearning for Neural Networks
ICML 2025
The Privacy Power of Correlated Noise in Decentralized Learning
ICML 2024
Byzantine-Robust Federated Learning: Impact of Client Subsampling and Local Updates
ICML 2024
Revisiting Ensembling in One-Shot Federated Learning
NIPS 2024
Robust Sparse Voting
AISTATS 2024
Fine-Tuning Personalization in Federated Learning to Mitigate Adversarial Clients
NIPS 2024
Robust Distributed Learning: Tight Error Bounds and Breakdown Point under Data Heterogeneity
NIPS 2023
Fixing by Mixing: A Recipe for Optimal Byzantine ML under Heterogeneity
AISTATS 2023
On the Privacy-Robustness-Utility Trilemma in Distributed Learning
ICML 2023
Further results on latent discourse models and word embeddings
JMLR 2021