Comparing features and note: Federated Learning with Flower and Yjs

Yak - federated learning

flower.ai  |  yjs.dev

Comparing notes on federated learning with Elixir (Ana Freitas)

Datasets here: https://www.cineca-project.eu/cineca-synthetic-datasets-old

CINECA Synthetic Datasets — CINECA - Common Infrastructure for National Cohorts in Europe, Canada, and Africa

Other WebRTC based distributed learning

• WebFlex: PDF

• DISCO https://disco.ethz.ch 

• Elixir, EOS?
  Flower presentation by Francisco

• Data Commons at NIH/NCI

This set the stage for federated learning as parto of a distributed API ecosystem: "The CRDC is a cloud-based data science infrastructure that eliminates the need for researchers to download and store large-scale datasets by allowing them to perform analysis where data reside."

Hack

Flower

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Yjs

Revisit hands-on deployment detailed May 1st.

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Vector Glazer (Jeya)

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Clustering

• Cluster heatmap (Lorena) topdown complement?

i.e. are embedding APIs now offering to do dimensionality reduction as well?

• Synthetic data

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