11 citations · 20 across the 5 of their papers we have counts for
3 papers · 1 filter
Continual Learning with Distributed Optimization: Does CoCoA Forget?
Martin Hellkvist, Ayça Özçelikkale, Anders Ahlén
We focus on the continual learning problem where the tasks arrive sequentially and the aim is to perform well on the newly arrived task without performance degradation on the previ…
Linear Regression with Distributed Learning: A Generalization Error Perspective
Martin Hellkvist, Ayça Özçelikkale, Anders Ahlén
Distributed learning provides an attractive framework for scaling the learning task by sharing the computational load over multiple nodes in a network. Here, we investigate the per…
Generalization Error for Linear Regression under Distributed Learning
Martin Hellkvist, Ayça Özçelikkale, Anders Ahlén
Distributed learning facilitates the scaling-up of data processing by distributing the computational burden over several nodes. Despite the vast interest in distributed learning, g…