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04/14/2023
Exact Subspace Diffusion for Decentralized Multitask Learning
Classical paradigms for distributed learning, such as federated or decen...
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09/16/2022
Quantization for decentralized learning under subspace constraints
In this paper, we consider decentralized optimization problems where age...
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03/18/2022
Dencentralized learning in the presence of low-rank noise
Observations collected by agents in a network may be unreliable due to o...
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01/07/2020
Multitask learning over graphs
The problem of learning simultaneously several related tasks has receive...
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10/30/2019
Network Classifiers With Output Smoothing
This work introduces two strategies for training network classifiers wit...
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06/01/2019
Adaptation and learning over networks under subspace constraints – Part II: Performance Analysis
Part I of this paper considered optimization problems over networks wher...
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05/21/2019
Adaptation and learning over networks under subspace constraints -- Part I: Stability Analysis
This paper considers optimization problems over networks where agents ha...
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05/21/2019
Adaptation and learning over networks under subspace constraints
This paper considers optimization problems over networks where agents ha...
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05/22/2018
Learning over Multitask Graphs - Part II: Performance Analysis
Part I of this paper formulated a multitask optimization problem where a...
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05/22/2018