Federated Learning under Distributed Concept Drift.

Ellango Jothimurugesan Kevin Hsieh Jianyu Wang Gauri Joshi Phillip B. Gibbons

Published in: CoRR (2022)

Keyphrases

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