Riemannian Low-Rank Model Compression for Federated Learning with Over-the-Air Aggregation.

Ye Xue Vincent K. N. Lau

Published in: CoRR (2023)

Keyphrases

low rank
probabilistic model
learning algorithm
similarity measure
reinforcement learning
high dimensional
linear combination
high order
learning process
active learning
dimensionality reduction
image compression
manifold learning
convex optimization
matrix factorization