Unlocking the Potential of Federated Learning: The Symphony of Dataset Distillation via Deep Generative Latents

1 code implementation • 3 Dec 2023 • Yuqi Jia, Saeed Vahidian, Jingwei Sun, Jianyi Zhang, Vyacheslav Kungurtsev, Neil Zhenqiang Gong, Yiran Chen

This process allows local devices to train smaller surrogate models while enabling the training of a larger global model on the server, effectively minimizing resource utilization.

Federated Learning

Competitive Advantage Attacks to Decentralized Federated Learning

no code implementations • 20 Oct 2023 • Yuqi Jia, Minghong Fang, Neil Zhenqiang Gong

In SelfishAttack, a set of selfish clients aim to achieve competitive advantages over the remaining non-selfish ones, i. e., the final learnt local models of the selfish clients are more accurate than those of the non-selfish ones.

Federated Learning

Prompt Injection Attacks and Defenses in LLM-Integrated Applications

1 code implementation • 19 Oct 2023 • Yupei Liu, Yuqi Jia, Runpeng Geng, Jinyuan Jia, Neil Zhenqiang Gong

As a result, the literature lacks a systematic understanding of prompt injection attacks and their defenses.