FedDES: Graph-Based Dynamic Ensemble Selection for Personalized Federated Learning explores A decentralized framework for personalized federated learning that dynamically selects and weights peer models at the instance level using graph neural networks to combat negative transfer.. Commercial viability score: 7/10 in Personalized Federated Learning.
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