FedET: A Communication-Efficient Federated Class-Incremental Learning Framework Based on Enhanced Transformer

27 June 2023

Papers citing "FedET: A Communication-Efficient Federated Class-Incremental Learning Framework Based on Enhanced Transformer"

7 / 7 papers shown

Title
Accurate Forgetting for Heterogeneous Federated Continual Learning Abudukelimu Wuerkaixi Sen Cui Jiaming Zhang Kunda Yan Bo Han Gang Niu Lei Fang Changshui Zhang Masashi Sugiyama 119 8 0 20 Feb 2025
Rehearsal-Free Continual Federated Learning with Synergistic Synaptic Intelligence Yichen Li Yuying Wang Haozhao Wang Yining Qi Tianzhe Xiao Ruixuan Li 127 0 0 18 Dec 2024
FPPL: An Efficient and Non-IID Robust Federated Continual Learning Framework Yuchen He Chuyun Shen Xiangfeng Wang Bo Jin FedML 32 1 0 04 Nov 2024
WHALE-FL: Wireless and Heterogeneity Aware Latency Efficient Federated Learning over Mobile Devices via Adaptive Subnetwork Scheduling Huai-an Su Jiaxiang Geng Liang Li Xiaoqi Qin Yanzhao Hou Xin Fu Miao Pan Miao Pan 50 1 0 01 May 2024
EdgeMA: Model Adaptation System for Real-Time Video Analytics on Edge Devices Liang Wang Nan Zhang Xiaoyang Qu Jianzong Wang Ji-guang Wan Guokuan Li Kaiyu Hu Guilin Jiang Jing Xiao 23 2 0 17 Aug 2023
Masked Autoencoders Are Scalable Vision Learners Kaiming He Xinlei Chen Saining Xie Yanghao Li Piotr Dollár Ross B. Girshick ViT TPM 322 7,481 0 11 Nov 2021
Distilling Causal Effect of Data in Class-Incremental Learning Xinting Hu Kaihua Tang Chunyan Miao Xiansheng Hua Hanwang Zhang CML 176 175 0 02 Mar 2021