Dimitris Stripelis | DeepAI

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∙ 05/15/2023

Federated Learning over Harmonized Data Silos

Federated Learning is a distributed machine learning approach that enabl...

0 Dimitris Stripelis, et al. ∙

∙ 05/02/2022

Performance Weighting for Robust Federated Learning Against Corrupted Sources

Federated Learning has emerged as a dominant computational paradigm for ...

11 Dimitris Stripelis, et al. ∙

∙ 03/28/2022

Federated Named Entity Recognition

We present an analysis of the performance of Federated Learning in a par...

0 Joel Mathew, et al. ∙

∙ 08/07/2021

Secure Neuroimaging Analysis using Federated Learning with Homomorphic Encryption

Federated learning (FL) enables distributed computation of machine learn...

20 Dimitris Stripelis, et al. ∙

∙ 02/16/2021

Scaling Neuroscience Research using Federated Learning

The amount of biomedical data continues to grow rapidly. However, the ab...

0 Dimitris Stripelis, et al. ∙

∙ 02/04/2021

Semi-Synchronous Federated Learning

There are situations where data relevant to a machine learning problem a...

0 Dimitris Stripelis, et al. ∙

∙ 08/25/2020

Accelerating Federated Learning in Heterogeneous Data and Computational Environments

There are situations where data relevant to a machine learning problem a...

0 Dimitris Stripelis, et al. ∙

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