Javier Fernández-Marqués
6 papers · 2019–2024 · 4 venues · across top CS/AI venues
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Achievements
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🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (14) 🐣 Hot Topic Early Bird
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The Questioner
Venues
Top co-authors
Research topics
Machine Learning
(6)
Artificial Intelligence
(4)
Deep Learning
(4)
Application Areas
(3)
Architectures
(2)
Core AI
(2)
Learning Paradigms · Artificial Intelligence
(2)
Learning Paradigms · Machine Learning
(2)
Speech & Audio
(1)
Learning Types · Machine Learning
(1)
Learning Types · Deep Learning
(1)
Optimization & Theory · Machine Learning
(1)
Optimization & Theory · Deep Learning
(1)
Recognition
(1)
Techniques
(1)
Keywords
federated learning
(4)
model quantization
(1)
self-supervised learning
(1)
speech processing
(1)
neural network optimization
(1)
early exit
(1)
gradient descent
(1)
sparse training
(1)
inference efficiency
(1)
on-device training
(1)
model sparsity
(1)
communication cost
(1)
quantization-aware training
(1)
binary neural network
(1)
energy consumption
(1)
speech representation
(1)
low precision
(1)
environmental impact
(1)
carbon footprint
(1)
graph neural network
(1)
Papers
Recurrent Early Exits for Federated Learning with Heterogeneous Clients
ICML 2024
A First Look into the Carbon Footprint of Federated Learning
JMLR 2023
Federated Self-supervised Speech Representations: Are We There Yet?
Interspeech 2022
ZeroFL: Efficient On-Device Training for Federated Learning with Local Sparsity
ICLR 2022
Degree-Quant: Quantization-Aware Training for Graph Neural Networks
ICLR 2021
An Empirical study of Binary Neural Networks' Optimisation
ICLR 2019