client-drift

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fzhu0628 / DRAG---Divergence-Based-Adaptive-Aggregation-in-Federated-Learning-on-Non-IID-Data

In this work, we developed a novel algorithm named divergence-based adaptive aggregation (DRAG) to deal with the client-drift effect. Additionally, the DRAG algorithm also showcases resilience against byzantine attacks, as demonstrated through experiments.

federated-learning local-sgd client-drift byzantine-attack