DFedRW runs parallel random walk model updates with decentralized averaging and reports accuracy gains of up to 38 percentage points over FedAvg and DFedAvg under high heterogeneity.
GossipFL: A decentralized federated learning framework with sparsified and adaptive communication,
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.DC 1years
2025 1verdicts
REJECT 1roles
background 1polarities
unclear 1representative citing papers
citing papers explorer
-
Decentralized Federated Averaging via Random Walk
DFedRW runs parallel random walk model updates with decentralized averaging and reports accuracy gains of up to 38 percentage points over FedAvg and DFedAvg under high heterogeneity.