Conference paper2025

ICC 2025 - IEEE International Conference on Communications

ProFe: Communication-Efficient Decentralized Federated Learning via Distillation and Prototypes

TrainingQuantization (signal)CostsFederated learningPrototypesCollaborationData modelsComplexity theoryOptimizationFacesCommunication OptimizationFederated LearningKnowledge DistillationPrototype LearningQuantization

Abstract

Authors

Pedro Miguel Sánchez SánchezEnrique Tomás Martínez BeltránMiguel Fernández LlamasGérôme BovetGregorio Martínez PérezAlberto Huertas Celdrán

Keywords

TrainingQuantization (signal)CostsFederated learningPrototypesCollaborationData modelsComplexity theoryOptimizationFacesCommunication OptimizationFederated LearningKnowledge DistillationPrototype LearningQuantization

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