Aug 24, 2023 · Abstract:Federated learning systems are susceptible to adversarial attacks. To combat this, we introduce a novel aggregator based on Huber ...

Federated learning systems are susceptible to adversarial at- tacks. To combat this, we introduce a novel aggregator based on Huber loss minimization, ...

Feb 24, 2024 · On-demand video platform giving you access to lectures from conferences worldwide.

It discusses the challenges faced by federated learning systems, the importance of defense strategies against Byzantine attacks, and compares various existing ...

Article "A Huber Loss Minimization Approach to Byzantine Robust Federated Learning" Detailed information of the J-GLOBAL is an information service managed ...

A Huber Loss Minimization Approach to Byzantine Robust Federated Learning. Novel approach using Huber loss minimization for robust federated learning.

Wan, “A Huber Loss Minimization Approach to Byzantine Robust Federated Learning”, AAAI, vol. 38, no. 19, pp. 21806-21814, Mar. 2024.

A Huber Loss Minimization Approach to Byzantine Robust Federated Learning. P Zhao, F Yu, Z Wan. Proceedings of the AAAI Conference on Artificial Intelligence ...

Federated learning systems are susceptible to adversarial attacks. To combat this, we introduce a novel aggregator based on Huber loss minimization, ...

A Huber Loss Minimization Approach to Byzantine Robust Federated Learning. P Zhao, F Yu, Z Wan. Proceedings of the AAAI Conference on Artificial Intelligence ...