Inclusive Data Representation in Federated Learning: A Novel Approach Integrating Textual and Visual Prompt

no code implementations • 4 Oct 2023 • Zihao Zhao, Zhenpeng Shi, Yang Liu, Wenbo Ding

Federated Learning (FL) is often impeded by communication overhead issues.

Contrastive Learning Federated Learning

AQUILA: Communication Efficient Federated Learning with Adaptive Quantization in Device Selection Strategy

no code implementations • 1 Aug 2023 • Zihao Zhao, Yuzhu Mao, Zhenpeng Shi, Yang Liu, Tian Lan, Wenbo Ding, Xiao-Ping Zhang

In response, this paper introduces AQUILA (adaptive quantization in device selection strategy), a novel adaptive framework devised to effectively handle these issues, enhancing the efficiency and robustness of FL.

Federated Learning Privacy Preserving +1