LP-VFedNN: A Lightweight and Lossless Privacy-Preserving Vertical Federated Learning Framework For Heterogeneous Neural Network Via Homomorphic Encryption and Intel SGX.

@inproceedings{sun-2026-lpvfednn, author = {Han Sun and Liji Wu and Zixin Wang and Baisong Li and Huiping Zhuang and Weiping Wang and Yaoyi Deng and Mingxuan Li and Hailong Zhang}, editor = {Stevan Rudinac and Zi Huang and Marcel Worring and Lucia Vadicamo and Xirong Li and Pascal Mettes and Lizi Liao}, title = {{LP-VFedNN: A Lightweight and Lossless Privacy-Preserving Vertical Federated Learning Framework For Heterogeneous Neural Network Via Homomorphic Encryption and Intel SGX}}, booktitle = {{Proceedings of the 2026 International Conference on Multimedia Retrieval, ICMR 2026, Amsterdam, The Netherlands, June 16-19, 2026}}, pages = {1682--1691}, publisher = {ACM}, year = {2026}, url = {https://doi.org/10.1145/3805622.3810704}, doi = {https://doi.org/10.1145/3805622.3810704} }