Stefan Vlaski

Multitask Learning Over Graphs: An Approach for Distributed, Streaming Machine Learning

2020 · IEEE Signal Processing Magazine

The problem of simultaneously learning several related tasks has received considerable attention in several domains, especially in machine learning, with the so-called multitask learning (MTL) problem, or learning to learn problem [1], [2]. MTL is …

Distributed Meta-Learning with Networked Agents

2021 · 2021 29th European Signal Processing Conference (EUSIPCO)

Meta-learning aims to improve efficiency of learning new tasks by exploiting the inductive biases obtained from related tasks. Previous works consider centralized or federated architectures that rely on central processors, whereas, in this paper, we …