Constantin Philippenko
4 papers · 2021–2025 · 3 venues · across top CS/AI venues
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Achievements
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🌍
Conference Polyglot · Bronze
🌉
Interdisciplinary Bridge · Bronze
🗺️
Taxonomy Completionist
(10)
🐣
Hot Topic Early Bird
👥
Mega-Team · Squad
Venues
Top co-authors
Research topics
Keywords
convergence rate
(2)
distributed learning
(2)
federated learning
(2)
convergence analysis
(1)
least squares regression
(1)
benchmark dataset
(1)
communication compression
(1)
bidirectional compression
(1)
cross-silo federated learning
(1)
healthcare data
(1)
compression operator
(1)
low-rank matrix factorization
(1)
nesterov gradient descent
(1)
power initialization
(1)
server-worker architecture
(1)
privacy-preserving machine learning
(1)
central server
(1)
model compression
(1)
stochastic gradient
(1)
Papers
In-depth Analysis of Low-rank Matrix Factorisation in a Federated Setting
AAAI 2025
Compressed and distributed least-squares regression: convergence rates with applications to federated learning
JMLR 2024
FLamby: Datasets and Benchmarks for Cross-Silo Federated Learning in Realistic Healthcare Settings
NeurIPS 2022
Preserved central model for faster bidirectional compression in distributed settings
NeurIPS 2021