Andre Manoel
6 papers · 2015–2024 · 5 venues · across top CS/AI venues
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Achievements
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🌍 Conference Polyglot · Silver 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (17) 🐣 Hot Topic Early Bird
🌈
Renaissance Researcher
(6)
Top co-authors
Research topics
Machine Learning
(5)
Artificial Intelligence
(3)
Application Areas
(3)
Deep Learning
(2)
Learning Paradigms · Artificial Intelligence
(2)
Learning Paradigms · Machine Learning
(2)
Optimization & Theory
(2)
Computer Science
(1)
Mathematics & Optimization
(1)
Natural Language Processing
(1)
Security & Privacy
(1)
Speech & Audio
(1)
Bayesian & Probabilistic
(1)
Differential Privacy
(1)
Foundations
(1)
Keywords
federated learning
(2)
differential privacy
(2)
compressed sensing
(1)
iterative optimization
(1)
few-shot learning
(1)
ensemble learning
(1)
knowledge distillation
(1)
in-context learning
(1)
sparse estimation
(1)
numerical optimization
(1)
user verification
(1)
neural network theory
(1)
speaker recognition
(1)
synthetic data generation
(1)
signal reconstruction
(1)
mutual information
(1)
approximate message passing
(1)
distributed training
(1)
signal recovery
(1)
language model
(1)
Papers
Privacy-Preserving In-Context Learning with Differentially Private Few-Shot Generation
ICLR 2024
Federated Learning Toolkit with Voice-based User Verification Demo
Interspeech 2023
Differentially Private Fine-tuning of Language Models
ICLR 2022
Heterogeneous Ensemble Knowledge Transfer for Training Large Models in Federated Learning
IJCAI 2022
Entropy and mutual information in models of deep neural networks
NeurIPS 2018
Swept Approximate Message Passing for Sparse Estimation
ICML 2015