Laurent Condat
5 papers · 2020–2025 · 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
🐣
Hot Topic Early Bird
Venues
Top co-authors
Research topics
Machine Learning
(5)
Optimization & Theory · Machine Learning
(4)
Mathematics & Optimization
(3)
Optimization
(3)
Artificial Intelligence
(2)
Learning Paradigms · Artificial Intelligence
(2)
Deep Learning
(1)
Application Areas
(1)
Learning Paradigms · Machine Learning
(1)
Optimization & Theory · Deep Learning
(1)
Keywords
variance reduction
(2)
federated learning
(2)
primal-dual algorithm
(2)
distributed optimization
(2)
proximal splitting
(1)
nonsmooth optimization
(1)
gradient compression
(1)
stochastic method
(1)
optimal algorithm
(1)
fixed-point iteration
(1)
error feedback
(1)
local training
(1)
local sgd
(1)
unbiased compressor
(1)
affine constraint
(1)
strongly convex minimization
(1)
stochastic oracle
(1)
randomized proximal update
(1)
compression
(1)
quantization
(1)
Papers
LoCoDL: Communication-Efficient Distributed Learning with Local Training and Compression
ICLR 2025
RandProx: Primal-Dual Optimization Algorithms with Randomized Proximal Updates
ICLR 2023
An Optimal Algorithm for Strongly Convex Minimization under Affine Constraints
AISTATS 2022
EF-BV: A Unified Theory of Error Feedback and Variance Reduction Mechanisms for Biased and Unbiased Compression in Distributed Optimization
NeurIPS 2022
From Local SGD to Local Fixed-Point Methods for Federated Learning
ICML 2020