Poster "secure multi-party computation" Papers

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FedRW: Efficient Privacy-Preserving Data Reweighting for Enhancing Federated Learning of Language Models

Pukang Ye, Luo Junwei, Jiachen Shen et al.

NEURIPS 2025arXiv:2511.07505

MPCache: MPC-Friendly KV Cache Eviction for Efficient Private LLM Inference

Wenxuan Zeng, Ye Dong, Jinjin Zhou et al.

NEURIPS 2025arXiv:2501.06807
2
citations

CaPS: Collaborative and Private Synthetic Data Generation from Distributed Sources

Sikha Pentyala, Mayana Pereira, Martine De Cock

ICML 2024arXiv:2402.08614
5
citations

CipherDM: Secure Three-Party Inference for Diffusion Model Sampling

Xin Zhao, Xiaojun Chen, Xudong Chen et al.

ECCV 2024arXiv:2409.05414
3
citations

Ditto: Quantization-aware Secure Inference of Transformers upon MPC

Haoqi Wu, Wenjing Fang, Yancheng Zheng et al.

ICML 2024arXiv:2405.05525
16
citations