Constantin Philippenko
4 papers · 2021–2025 · 3 conferences · across top CS/AI conferences
Achievements
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🐣 Hot Topic Early Bird 🧭 Keyword Pioneer 🌍 Conference Polyglot (3) 🌉 Interdisciplinary Bridge 🐝 Cross-Pollinator (12)
🗺️
Taxonomy Completionist
(11)
👥
Mega-Team
(24)
Conferences
NIPS (2)
AAAI (1)
JMLR (1)
Top co-authors
Keywords
distributed learning
(2)
federated learning
(2)
convergence rate
(2)
convergence analysis
(1)
least squares regression
(1)
benchmark dataset
(1)
communication compression
(1)
bidirectional compression
(1)
cross-silo federated learning
(1)
healthcare datum
(1)
least-squares regression
(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
NIPS 2022
Preserved central model for faster bidirectional compression in distributed settings
NIPS 2021