Thijs Vogels
8 papers · 2019–2024 · 3 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 (16) 🐣 Hot Topic Early Bird
🔥
Unstoppable · Bronze
Venues
Top co-authors
Research topics
Machine Learning
(7)
Optimization & Theory · Machine Learning
(6)
Application Areas
(3)
Artificial Intelligence
(2)
Deep Learning
(2)
Mathematics & Optimization
(2)
Core AI
(2)
Optimization
(2)
Natural Language Processing
(1)
Core Methods
(1)
Generation
(1)
Learning Types
(1)
Mathematics
(1)
Optimization & Theory · Deep Learning
(1)
Techniques
(1)
Keywords
decentralized learning
(4)
distributed optimization
(3)
data-parallel optimization
(2)
communication efficiency
(2)
spectral gap
(2)
gradient compression
(2)
graph topology
(2)
low-rank approximation
(2)
learning rate
(1)
spanning tree
(1)
latent representation
(1)
heterogeneous data
(1)
wireless channel
(1)
model update
(1)
low-rank structure
(1)
missing data
(1)
information propagation
(1)
data-parallel training
(1)
large language model
(1)
modular network
(1)
Papers
LASER: Linear Compression in Wireless Distributed Optimization
ICML 2024
Beyond Spectral Gap: The Role of the Topology in Decentralized Learning
JMLR 2023
MultiMoDN—Multimodal, Multi-Task, Interpretable Modular Networks
NeurIPS 2023
Beyond spectral gap: the role of the topology in decentralized learning
NeurIPS 2022
RelaySum for Decentralized Deep Learning on Heterogeneous Data
NeurIPS 2021
Optimizer Benchmarking Needs to Account for Hyperparameter Tuning
ICML 2020
Practical Low-Rank Communication Compression in Decentralized Deep Learning
NeurIPS 2020
PowerSGD: Practical Low-Rank Gradient Compression for Distributed Optimization
NeurIPS 2019