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Poisoning Attacks on Federated Learning-based Wireless Traffic Prediction.

, , , и . CoRR, (2024)

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Fang-Fang Tang

Fang Chen

Xing Fang

Weigui Fang

Xiangfan Fang

 

Другие публикации лиц с тем же именем

NET-FLEET: achieving linear convergence speedup for fully decentralized federated learning with heterogeneous data., , , , , и . MobiHoc, стр. 71-80. ACM, (2022)IPCert: Provably Robust Intellectual Property Protection for Machine Learning., , и . ICCV (Workshops), стр. 3614-3623. IEEE, (2023)PoisonedFL: Model Poisoning Attacks to Federated Learning via Multi-Round Consistency., , и . CoRR, (2024)FLTrust: Byzantine-robust Federated Learning via Trust Bootstrapping., , , и . NDSS, The Internet Society, (2021)Private and communication-efficient edge learning: a sparse differential gaussian-masking distributed SGD approach., , , и . MobiHoc, стр. 261-270. ACM, (2020)Understanding Server-Assisted Federated Learning in the Presence of Incomplete Client Participation., , , , и . CoRR, (2024)Poisoning Attacks to Graph-Based Recommender Systems., , , и . ACSAC, стр. 381-392. ACM, (2018)FLTrust: Byzantine-robust Federated Learning via Trust Bootstrapping., , , и . CoRR, (2020)FairRoad: Achieving Fairness for Recommender Systems with Optimized Antidote Data., , , и . SACMAT, стр. 173-184. ACM, (2022)Local Model Poisoning Attacks to Byzantine-Robust Federated Learning., , , и . USENIX Security Symposium, стр. 1605-1622. USENIX Association, (2020)