Topic: data-heterogeneity Goto Github
Some thing interesting about data-heterogeneity
Some thing interesting about data-heterogeneity
data-heterogeneity,Multigraph fusion and classification network using graph neural network
User: basiralab
data-heterogeneity,Papers related to Federated Learning in all venue (dblp)
User: mtuann
Home Page: https://mtuann.shinyapps.io/research-papers/
data-heterogeneity,Library to simulate a distributed learning scenario, with clusters of users that train models minimizing a local cost function, and a server that wants to minimize a global cost function. The aim of the project is to study the tradeoff between local and global accuracy.
User: nicolagulmini
data-heterogeneity,Federated Learning (FL) is a collaborative machine learning approach that enables decentralized data processing. Instead of collecting and storing data in a central server, FL trains machine learning models directly on devices or servers where the data resides, enhancing privacy and security.
User: osamam0
data-heterogeneity,
Organization: pittisl
Home Page: https://arxiv.org/abs/2309.13536
data-heterogeneity,[ICLR 2023] "Combating Exacerbated Heterogeneity for Robust Models in Federated Learning"
User: zfancy
Home Page: https://openreview.net/forum?id=eKllxpLOOm
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