Thijs Vogels
8 papers · 2019–2024 · 3 conferences · across top CS/AI conferences
Achievements
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🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (3) 🏃 Academic Marathon (5) 🐣 Hot Topic Early Bird
🐝
Cross-Pollinator
(6)
🗺️
Taxonomy Completionist
(15)
🔥
Unstoppable
(6)
Conferences
NIPS (5)
ICML (2)
JMLR (1)
Top co-authors
Keywords
decentralized learning
(4)
distributed optimization
(3)
spectral gap
(2)
communication efficiency
(2)
data-parallel optimization
(2)
low-rank approximation
(2)
gradient compression
(2)
graph topology
(2)
spanning tree
(1)
latent representation
(1)
heterogeneous datum
(1)
model update
(1)
missing datum
(1)
information propagation
(1)
data-parallel training
(1)
modular network
(1)
multi-task learning
(1)
gossip averaging
(1)
multimodal learning
(1)
distributed learning
(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
NIPS 2023
Beyond spectral gap: the role of the topology in decentralized learning
NIPS 2022
RelaySum for Decentralized Deep Learning on Heterogeneous Data
NIPS 2021
Optimizer Benchmarking Needs to Account for Hyperparameter Tuning
ICML 2020
Practical Low-Rank Communication Compression in Decentralized Deep Learning
NIPS 2020
PowerSGD: Practical Low-Rank Gradient Compression for Distributed Optimization
NIPS 2019