Sageflow: Robust Federated Learning against Both Stragglers and Adversaries (Supplementary Material)

The hyperparameter settings for Sageflow are shown in Table 1. Table 2. Backdoor attack: The hyperparameter details are shown in Table 4. Table 4: Hyperparameters for Sageflow with both stragglers and adversaries, under backdoor attackDataset γ λ δ E We specify these values in Table 5. The local batch size is set to 64. Figure 1 shows the performance under the no-scaled backdoor attack with only adversaries (no stragglers). Figure 1 shows the case with both stragglers and adversaries. Some additional experiments were conducted under model poisoning with the scale factor 10. Figure 1 The loss associated with a poisoned device increases if we increase the scale factor from 0.1 to 10. Sageflow but also Zeno+ can effectively defend against the attacks with only adversaries.