Source code for AAAI 2025 paper "Rethinking Byzantine Robustness in Federated Recommendation from Sparse Aggregation Perspective" Paper link: https://arxiv.org/pdf/2501.03301
python main.py --attack Spattack_O --clients_limit 0.052631 --defense Mean
python main.py --attack Spattack_O --sample_items --clients_limit 0.052631 --defense Mean
python main.py --attack Spattack_L --clients_limit 0.052631 --defense Mean
python main.py --attack Spattack_L --sample_items --clients_limit 0.052631 --defense Mean
You can specific the "--defense" and "--dataset" to change the defense and dataset, respectively.
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