Differentially Private Pre-Trained Model Fusion using Decentralized Federated Graph Matching

no code implementations • 5 Nov 2023 • Qian Chen, Yiqiang Chen, Xinlong Jiang, Teng Zhang, Weiwei Dai, Wuliang Huang, Zhen Yan, Bo Ye

Model fusion is becoming a crucial component in the context of model-as-a-service scenarios, enabling the delivery of high-quality model services to local users.

Graph Matching Privacy Preserving

FedBone: Towards Large-Scale Federated Multi-Task Learning

no code implementations • 30 Jun 2023 • Yiqiang Chen, Teng Zhang, Xinlong Jiang, Qian Chen, Chenlong Gao, Wuliang Huang

The conflicting gradient projection technique is used to enhance the generalization of the large-scale general model between different tasks.

Federated Learning Multi-Task Learning