most citedEnhancing Security and Privacy in Federated Learning using Low-Dimensional Update Representation and Proximity-Based Defense

6 citations · 6 across the 2 of their papers we have counts for

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cs.LG2024

Enhancing Federated Domain Adaptation with Multi-Domain Prototype-Based Federated Fine-Tuning

Jingyuan Zhang, Yiyang Duan, Shuaicheng Niu +2

Federated Domain Adaptation (FDA) is a Federated Learning (FL) scenario where models are trained across multiple clients with unique data domains but a shared category space, witho…