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cs.CR2023
Enabling Quartile-based Estimated-Mean Gradient Aggregation As Baseline for Federated Image Classifications
Yusen Wu, Jamie Deng, Hao Chen +2
Federated Learning (FL) has revolutionized how we train deep neural networks by enabling decentralized collaboration while safeguarding sensitive data and improving model performan…
cs.CR2021
Tolerating Adversarial Attacks and Byzantine Faults in Distributed Machine Learning
Yusen Wu, Hao Chen, Xin Wang +3
Adversarial attacks attempt to disrupt the training, retraining and utilizing of artificial intelligence and machine learning models in large-scale distributed machine learning sys…