Search papers, labs, and topics across Lattice.
Zhejiang University
2
0
5
0
Split learning offers a surprisingly viable path to fine-tuning LLMs on sensitive data without breaking the bank or sacrificing privacy.
Vertical federated learning can be made practical and private with a new framework that drastically cuts MPC overhead by distributing aggregation and using global-local model updates.
