most citedHammer and Anvil: Toward a Theory of Backdoors in Federated Learning

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cs.LG2026

Private Vertical Federated Inference for Time-Series

Lucas Fenaux, Larris Xie, Aditya Bang +3

Institutions may benefit from collaborative inference on time-series data. In settings where privacy is necessary, multi-party computation (MPC) is a straightforward approach to pr…

cs.LG2025★ 1 cited

Hammer and Anvil: Toward a Theory of Backdoors in Federated Learning

Lucas Fenaux, Zheng Wang, Jacob Yan +2

Federated Learning (FL) enables distributed model training but is vulnerable to backdoor attacks, where malicious clients embed attacker-controlled behaviors into the global model.…