Secure and Private Federated Learning: Achieving Adversarial Resilience through Robust Aggregation

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Secure and Private Federated Learning: Achieving Adversarial Resilience through Robust Aggregation

22 May 2025

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Papers citing "Secure and Private Federated Learning: Achieving Adversarial Resilience through Robust Aggregation"

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Title
Krum Federated Chain (KFC): Using blockchain to defend against adversarial attacks in Federated Learning Mario García-Márquez Nuria Rodríguez Barroso M. V. Luzón Francisco Herrera 56 1 0 10 Feb 2025
FedGT: Identification of Malicious Clients in Federated Learning with Secure Aggregation M. Xhemrishi Johan Ostman Antonia Wachter-Zeh Alexandre Graell i Amat FedML 88 10 0 09 May 2023
Learning from History for Byzantine Robust Optimization Sai Praneeth Karimireddy Lie He Martin Jaggi FedML AAML 119 183 0 18 Dec 2020
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding Jacob Devlin Ming-Wei Chang Kenton Lee Kristina Toutanova VLM SSL SSeg 2.0K 95,673 0 11 Oct 2018
Communication-Efficient Learning of Deep Networks from Decentralized Data H. B. McMahan Eider Moore Daniel Ramage S. Hampson Blaise Agüera y Arcas FedML 530 17,797 0 17 Feb 2016