DMTT screens both model updates and topology claims with a Beta-trust model, and on two HAR datasets it is the only tested method that beats local-only learning under 10 to 80 percent Byzantine devices.
Decentralized federated averaging,
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Trust-Aware Topology Learning for Dynamic Decentralized Federated Learning under Adversaries
DMTT screens both model updates and topology claims with a Beta-trust model, and on two HAR datasets it is the only tested method that beats local-only learning under 10 to 80 percent Byzantine devices.