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Aug 22, 2024 · We introduce FedCACS, a Classifier Aggregation with Cosine Similarity in Federated Learning method to bridge the gap between conventional FL and PFL.
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Jul 19, 2024 · This article presents a method named personalized federated learning via cross silo prototypical calibration (pFedCSPC) to enhance the consistency of knowledge ...
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Zhou, J. Shao: Bilateral Improvement in Local Personalization and Global Generalization in Federated Learning. IEEE Internet of Things Journal.11(16): 27099 ...
Jul 20, 2023 · In this paper, we propose a novel federated model soup method (ie, selective interpolation of model parameters) to optimize the trade-off between local and ...
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Oct 15, 2023 · A novel approach called FedGELA where the classifier is globally fixed as a simplex ETF while locally adapted to the personal distributions.
Bilateral Improvement in Local Personalization and Global Generalization in Federated Learning ... learning methods with an average accuracy improvement of ...
Jul 22, 2024 · Abstract—Federated learning aims to facilitate collaborative training among multiple clients with data heterogeneity in a.
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Comprehensive and timely academic information on federated learning (papers, frameworks, datasets, tutorials, workshops) - youngfish42/Awesome-FL.
May 29, 2024 · A novel approach called FedGELA where the classifier is globally fixed as a simplex ETF while locally adapted to the personal distributions.
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Duration: 56:28
Posted: Mar 24, 2022
Posted: Mar 24, 2022
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