In over-the-air federated learning, increasing the number of participating clients simultaneously reduces information leakage, induces channel hardening that removes fading distortions, and improves the convergence rate.
Communication-efficient learning of deep networks from decentralized data,
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
method 1
citation-polarity summary
fields
cs.LG 1years
2025 1verdicts
CONDITIONAL 1roles
method 1polarities
use method 1representative citing papers
citing papers explorer
-
Rethinking Federated Learning Over the Air: The Blessing of Scaling Up
In over-the-air federated learning, increasing the number of participating clients simultaneously reduces information leakage, induces channel hardening that removes fading distortions, and improves the convergence rate.