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federated learning

biblio

Resilient and Verifiable Federated Learning against Byzantine Colluding Attacks

Submitted by aekwall on Thu, 12/01/2022 - 3:38pm

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FALIoTSE: Towards Federated Adversarial Learning for IoT Search Engine Resiliency

Submitted by grigby1 on Fri, 11/18/2022 - 4:43pm

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HyperTune: Dynamic Hyperparameter Tuning for Efficient Distribution of DNN Training Over Heterogeneous Systems

Submitted by grigby1 on Tue, 11/08/2022 - 10:52am

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FLDDoS: DDoS Attack Detection Model based on Federated Learning

Submitted by grigby1 on Thu, 10/06/2022 - 2:20pm

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A Privacy-Preserving Incentive Mechanism for Federated Cloud-Edge Learning

Submitted by grigby1 on Fri, 08/26/2022 - 12:26pm

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Federated Learning with Personalized Local Differential Privacy

Submitted by grigby1 on Tue, 04/26/2022 - 10:39am

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WAFFLE: Watermarking in Federated Learning

Submitted by grigby1 on Tue, 04/26/2022 - 9:36am

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A Survey on Security and Privacy Threats to Federated Learning

Submitted by grigby1 on Mon, 04/18/2022 - 1:36pm

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Resisting Distributed Backdoor Attacks in Federated Learning: A Dynamic Norm Clipping Approach

Submitted by grigby1 on Tue, 04/12/2022 - 11:19am

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Sybil Attacks and Defense on Differential Privacy based Federated Learning

Submitted by grigby1 on Wed, 03/23/2022 - 10:34am

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