FedDUAP: Federated Learning with Dynamic Update and Adaptive Pruning Using Shared Data on the Server

25 April 2022

Papers citing "FedDUAP: Federated Learning with Dynamic Update and Adaptive Pruning Using Shared Data on the Server"

28 / 28 papers shown

Title
SGDPO: Self-Guided Direct Preference Optimization for Language Model Alignment Wenqiao Zhu Ji Liu Lulu Wang Jun Wu Yulun Zhang 106 0 0 18 May 2025
SEAFL: Enhancing Efficiency in Semi-Asynchronous Federated Learning through Adaptive Aggregation and Selective Training Md Sirajul Islam Sanjeev Panta F. Xu Xu Yuan Li Chen N. Tzeng FedML 104 0 0 22 Feb 2025
Automatic Structured Pruning for Efficient Architecture in Federated Learning Thai Vu Nguyen Long Bao Le Anderson Avila FedML 41 0 0 04 Nov 2024
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 105 11 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 91 6 0 30 Sep 2024
Sequential Federated Learning in Hierarchical Architecture on Non-IID Datasets Xingrun Yan Shiyuan Zuo Rongfei Fan Han Hu Li Shen Puning Zhao Yong Luo FedML 89 0 0 19 Aug 2024
Efficient Federated Learning Using Dynamic Update and Adaptive Pruning with Momentum on Shared Server Data Ji Liu Juncheng Jia Hong Zhang Yuhui Yun Leye Wang Yang Zhou H. Dai Dejing Dou FedML 85 7 0 11 Aug 2024
Communication-Efficient Federated Learning with Adaptive Compression under Dynamic Bandwidth Zhuansun Ying Dandan Li Xiaohong Huang Caijun Sun FedML 108 0 0 06 May 2024
Towards Fairness in Provably Communication-Efficient Federated Recommender Systems Kirandeep Kaur Sujit Gujar Shweta Jain FedML 117 0 0 03 May 2024
FedMPQ: Secure and Communication-Efficient Federated Learning with Multi-codebook Product Quantization Xu Yang Jiapeng Zhang Qifeng Zhang Zhuo Tang MQ 67 0 0 21 Apr 2024
Enhancing Trust and Privacy in Distributed Networks: A Comprehensive Survey on Blockchain-based Federated Learning Ji Liu Chunlu Chen Yu Li Lin Sun Yulun Song Jingbo Zhou Bo Jing Dejing Dou 84 10 0 28 Mar 2024
Efficient Asynchronous Federated Learning with Sparsification and Quantization Juncheng Jia Ji Liu Chendi Zhou Hao Tian M. Dong Dejing Dou FedML 88 13 0 23 Dec 2023
Convergence Visualizer of Decentralized Federated Distillation with Reduced Communication Costs Akihito Taya Yuuki Nishiyama K. Sezaki FedML 40 0 0 19 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 101 13 0 18 Dec 2023
On Mask-based Image Set Desensitization with Recognition Support Qilong Li Ji Liu Yifan Sun Chongsheng Zhang Dejing Dou CVBM 84 4 0 14 Dec 2023
FedASMU: Efficient Asynchronous Federated Learning with Dynamic Staleness-aware Model Update Ji Liu Juncheng Jia Tianshi Che Chao Huo Jiaxiang Ren Yang Zhou H. Dai Dejing Dou 71 37 0 10 Dec 2023
Federated Learning of Large Language Models with Parameter-Efficient Prompt Tuning and Adaptive Optimization Tianshi Che Ji Liu Yang Zhou Jiaxiang Ren Jiwen Zhou Victor S. Sheng H. Dai Dejing Dou 90 56 0 23 Oct 2023
FedDD: Toward Communication-efficient Federated Learning with Differential Parameter Dropout Zhiying Feng Xu Chen Qiong Wu Wenhua Wu Xiaoxi Zhang Qian Huang FedML 85 2 0 31 Aug 2023
Edge-cloud Collaborative Learning with Federated and Centralized Features Zexi Li Qunwei Li Yi Zhou Wenliang Zhong Guannan Zhang Chao-Xiang Wu FedML 83 15 0 12 Apr 2023
Distributed and Deep Vertical Federated Learning with Big Data Ji Liu Xuehai Zhou L. Mo Shilei Ji Yuan Liao Zhu Li Qinhua Gu Dejing Dou FedML 79 18 0 08 Mar 2023
Structured Pruning for Deep Convolutional Neural Networks: A survey Yang He Lingao Xiao 3DPC 116 143 0 01 Mar 2023
A Unified Momentum-based Paradigm of Decentralized SGD for Non-Convex Models and Heterogeneous Data Haizhou Du Chengdong Ni 38 1 0 01 Mar 2023
Multi-Job Intelligent Scheduling with Cross-Device Federated Learning Ji Liu Juncheng Jia Beichen Ma Chen Zhou Jingbo Zhou Yang Zhou H. Dai Dejing Dou FedML 104 24 0 24 Nov 2022
Accelerated Federated Learning with Decoupled Adaptive Optimization Jiayin Jin Jiaxiang Ren Yang Zhou Lingjuan Lyu Ji Liu Dejing Dou AI4CE FedML 77 52 0 14 Jul 2022
Large-scale Knowledge Distillation with Elastic Heterogeneous Computing Resources Ji Liu Daxiang Dong Xi Wang An Qin Xingjian Li P. Valduriez Dejing Dou Dianhai Yu 71 6 0 14 Jul 2022
FedHiSyn: A Hierarchical Synchronous Federated Learning Framework for Resource and Data Heterogeneity Guang-Ming Li Yue Hu Miao Zhang Ji Liu Quanjun Yin Yong Peng Dejing Dou FedML 99 42 0 21 Jun 2022
HeterPS: Distributed Deep Learning With Reinforcement Learning Based Scheduling in Heterogeneous Environments Ji Liu Zhihua Wu Dianhai Yu Yanjun Ma Danlei Feng Minxu Zhang Xinxuan Wu Xuefeng Yao Dejing Dou 76 49 0 20 Nov 2021
Heterogeneous Federated Learning using Dynamic Model Pruning and Adaptive Gradient Sixing Yu P. Nguyen Ali Anwar Ali Jannesari 81 12 0 13 Jun 2021