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Found 2 papers, 1 papers with code
Flame: Simplifying Topology Extension in Federated Learning
We present Flame, a new system that provides flexibility of the topology configuration of distributed FL applications around the specifics of a particular deployment context, and is easily extensible to support new FL architectures.
Canoe : A System for Collaborative Learning for Neural Nets
For highly distributed environments such as edge computing, collaborative learning approaches eschew the dependence on a global, shared model, in favor of models tailored for each location.
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