Jakub Konečný
5 papers · 2014–2022 · 4 venues · across top CS/AI venues
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Achievements
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🌉 Interdisciplinary Bridge · Bronze 🏃 Academic Marathon · Sprint 🗺️ Taxonomy Completionist (14) 🐣 Hot Topic Early Bird 🌍 Conference Polyglot · Bronze
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The Questioner
📈
Trend Setter
Venues
Top co-authors
Research topics
Machine Learning
(5)
Artificial Intelligence
(3)
Learning Paradigms
(3)
Optimization & Theory · Machine Learning
(3)
Deep Learning
(2)
Learning Types
(2)
Computer Vision
(1)
Mathematics & Optimization
(1)
Analysis
(1)
Core Methods
(1)
Optimization
(1)
Optimization & Theory · Deep Learning
(1)
Techniques
(1)
Keywords
federated learning
(3)
convergence rate
(2)
stochastic gradient
(1)
metric learning
(1)
multi-branch networks
(1)
distributed learning
(1)
quadratic models
(1)
gradient descent
(1)
variance reduction
(1)
histogram of oriented gradients
(1)
distribution shift
(1)
dynamic time warping
(1)
surrogate loss
(1)
support vector machine
(1)
temporal prior
(1)
adaptive optimization
(1)
client heterogeneity
(1)
control variate
(1)
gesture recognition
(1)
federated averaging
(1)
Papers
Diurnal or Nocturnal? Federated Learning of Multi-branch Networks from Periodically Shifting Distributions
ICLR 2022
Adaptive Federated Optimization
ICLR 2021
Convergence and Accuracy Trade-Offs in Federated Learning and Meta-Learning
AISTATS 2021
StopWasting My Gradients: Practical SVRG
NeurIPS 2015
One-Shot-Learning Gesture Recognition using HOG-HOF Features
JMLR 2014