FedRAS clusters item-embedding gradients into a few shared centroids, called actions, and transmits those instead of full embeddings, cutting federated recommender communication costs by up to 96.88%.
A survey of e-commerce recommender systems
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
background 1
citation-polarity summary
fields
cs.LG 1years
2025 1verdicts
CONDITIONAL 1roles
background 1polarities
background 1representative citing papers
citing papers explorer
-
Gradients as an Action: Towards Communication-Efficient Federated Recommender Systems via Adaptive Action Sharing
FedRAS clusters item-embedding gradients into a few shared centroids, called actions, and transmits those instead of full embeddings, cutting federated recommender communication costs by up to 96.88%.