Local Learning Matters: Rethinking Data Heterogeneity in Federated Learning.

Matías Mendieta Taojiannan Yang Pu Wang Minwoo Lee Zhengming Ding Chen Chen

Published in: CoRR (2021)

Keyphrases

learning process
prior knowledge
unsupervised learning
learning problems
background knowledge
learning systems

data collection
distributed data
data quality
learning tasks
data distribution
data sets

data mining techniques
supervised learning
data sources
learning algorithm
online learning
statistical analysis

small number
mobile learning
image data
xml documents
noisy data
reinforcement learning