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researcher

M. Purcell

3 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author3

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cs.DC1
  • cs.LG1
  • eess.SP1

identity via Semantic Scholar / OpenAlex

most citedIBM Federated Learning: an Enterprise Framework White Paper V0.1

112 citations · 112 across the 1 of their papers we have counts for

collaborators

3 papers

cs.LG2020★ 112 cited

IBM Federated Learning: an Enterprise Framework White Paper V0.1

Heiko Ludwig, Nathalie Baracaldo, Gegi Thomas +21

Federated Learning (FL) is an approach to conduct machine learning without centralizing training data in a single place, for reasons of privacy, confidentiality or data volume. How…

cs.DC2020

Scalable Deployment of AI Time-series Models for IoT

Bradley Eck, Francesco Fusco, Robert Gormally +2

IBM Research Castor, a cloud-native system for managing and deploying large numbers of AI time-series models in IoT applications, is described. Modelling code templates, in Python…

eess.SP2019

AI Modelling and Time-series Forecasting Systems for Trading Energy Flexibility in Distribution Grids

Bradley Eck, Francesco Fusco, Robert Gormally +2

We demonstrate progress on the deployment of two sets of technologies to support distribution grid operators integrating high shares of renewable energy sources, based on a market…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.