Andre Manoel
6 papers · 2015–2024 · 5 conferences · across top CS/AI conferences
Achievements
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π Interdisciplinary Bridge π§ Keyword Pioneer π Conference Polyglot (5) π Academic Marathon (9) π Cross-Pollinator (11)
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Renaissance Researcher
(6)
πΊοΈ
Taxonomy Completionist
(14)
π£
Hot Topic Early Bird
Conferences
ICLR (2)
ICML (1)
IJCAI (1)
INTERSPEECH (1)
NIPS (1)
Top co-authors
Keywords
federated learning
(2)
model compression
(1)
compressed sensing
(1)
iterative optimization
(1)
ensemble learning
(1)
knowledge distillation
(1)
sparse estimation
(1)
numerical optimization
(1)
user verification
(1)
neural network theory
(1)
speaker recognition
(1)
signal reconstruction
(1)
mutual information
(1)
approximate message passing
(1)
distributed training
(1)
signal recovery
(1)
heterogeneous datum
(1)
edge device
(1)
edge computing
(1)
voice verification
(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
NIPS 2018
Swept Approximate Message Passing for Sparse Estimation
ICML 2015