Distributed multi-task classification: a decentralized online learning approach

DOI10.1007/s10994-017-5676-yzbMath1458.68191OpenAlexW2765199729MaRDI QIDQ1640564

Shuji Hao, Steven C. H. Hoi, Chi Zhang, Chunyan Miao, Peilin Zhao, Yeng Chai Soh, Bu-Sung Lee

Publication date: 14 June 2018

Published in: Machine Learning (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10994-017-5676-y

zbMATH Keywords

online learningmulti-task learningdecentralized distributed learning

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Learning and adaptive systems in artificial intelligence (68T05) Online algorithms; streaming algorithms (68W27)

Related Items (1)

Communication-efficient distributed multi-task learning with matrix sparsity regularization

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Distributed stochastic subgradient projection algorithms for convex optimization
• Trace Norm Regularization: Reformulations, Algorithms, and Multi-Task Learning
• Online Learning and Online Convex Optimization
• Adaptation, Learning, and Optimization over Networks
• Incremental Subgradients for Constrained Convex Optimization: A Unified Framework and New Methods
• Distributed asynchronous computation of fixed points
• A New Class of Incremental Gradient Methods for Least Squares Problems
• Distributed Adaptive Node-Specific Signal Estimation in Fully Connected Sensor Networks—Part I: Sequential Node Updating
• Distributed Adaptive Estimation of Node-Specific Signals in Wireless Sensor Networks With a Tree Topology
• Diffusion Adaptation Strategies for Distributed Optimization and Learning Over Networks
• Diffusion Strategies Outperform Consensus Strategies for Distributed Estimation Over Adaptive Networks
• Multitask Diffusion Adaptation Over Networks
• Reaching a Consensus
• Distributed Subgradient Methods for Multi-Agent Optimization
• Online Multitask Learning
• Dual Averaging for Distributed Optimization: Convergence Analysis and Network Scaling
• A Convergent Incremental Gradient Method with a Constant Step Size

This page was built for publication: Distributed multi-task classification: a decentralized online learning approach