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Federated Learning under Distributed Concept Drift.
Ellango Jothimurugesan
Kevin Hsieh
Jianyu Wang
Gauri Joshi
Phillip B. Gibbons
Published in:
CoRR (2022)
Keyphrases
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concept drift
drifting concepts
batch learning
learning process
learning tasks
concept descriptions
data streams
neural network
active learning
high resolution
reinforcement learning
learning algorithm
database
data points
small number
supervised learning
non stationary
change detection
previously unseen