Efficient Federated Learning Using Dynamic Update and Adaptive Pruning
with Momentum on Shared Server Data

Efficient Federated Learning Using Dynamic Update and Adaptive Pruning with Momentum on Shared Server Data

11 August 2024

Ji Liu

Yang Zhou

Papers citing "Efficient Federated Learning Using Dynamic Update and Adaptive Pruning with Momentum on Shared Server Data"

5 / 5 papers shown

Title
SGDPO: Self-Guided Direct Preference Optimization for Language Model Alignment Wenqiao Zhu Ji Liu Lulu Wang Jun Wu Yulun Zhang 9 0 0 18 May 2025
Trustworthy Federated Learning: Privacy, Security, and Beyond Chunlu Chen Ji Liu Haowen Tan Xingjian Li Kevin I-Kai Wang Peng Li Kouichi Sakurai Dejing Dou FedML 52 4 0 03 Nov 2024
Fisher Information-based Efficient Curriculum Federated Learning with Large Language Models Ji Liu Jiaxiang Ren Ruoming Jin Zijie Zhang Yang Zhou P. Valduriez Dejing Dou FedML 42 2 0 30 Sep 2024
Efficient Asynchronous Federated Learning with Sparsification and Quantization Juncheng Jia Ji Liu Chendi Zhou Hao Tian M. Dong Dejing Dou FedML 41 11 0 23 Dec 2023
AEDFL: Efficient Asynchronous Decentralized Federated Learning with Heterogeneous Devices Ji Liu Tianshi Che Yang Zhou Ruoming Jin H. Dai Dejing Dou P. Valduriez 44 13 0 18 Dec 2023