Recycling Model Updates in Federated Learning: Are Gradient Subspaces
Low-Rank?

Recycling Model Updates in Federated Learning: Are Gradient Subspaces Low-Rank?

1 February 2022

Sheikh Shams Azam

Seyyedali Hosseinalipour

Christopher G. Brinton

Papers citing "Recycling Model Updates in Federated Learning: Are Gradient Subspaces Low-Rank?"

12 / 12 papers shown

Title
Layer-wise Update Aggregation with Recycling for Communication-Efficient Federated Learning Jisoo Kim Sungmin Kang Sunwoo Lee FedML 54 0 0 14 Mar 2025
Communication-Efficient Federated Low-Rank Update Algorithm and its Connection to Implicit Regularization Haemin Park Diego Klabjan FedML 56 1 0 19 Sep 2024
Energizing Federated Learning via Filter-Aware Attention Ziyuan Yang Zerui Shao Huijie Huangfu Hui Yu Andrew Beng Jin Teoh Xiaoxiao Li Hongming Shan Yi Zhang FedML 48 0 0 18 Nov 2023
Adversarial Client Detection via Non-parametric Subspace Monitoring in the Internet of Federated Things Xianjian Xie Xiaochen Xian Dan Li Andi Wang 33 0 0 02 Oct 2023
Federated Learning with Differential Privacy for End-to-End Speech Recognition Martin Pelikan Sheikh Shams Azam Vitaly Feldman Jan Honza Silovsky Kunal Talwar Tatiana Likhomanenko 58 7 0 29 Sep 2023
Importance of Smoothness Induced by Optimizers in FL4ASR: Towards Understanding Federated Learning for End-to-End ASR Sheikh Shams Azam Tatiana Likhomanenko Martin Pelikan Jan Honza Silovsky 34 6 0 22 Sep 2023
Taxonomy Adaptive Cross-Domain Adaptation in Medical Imaging via Optimization Trajectory Distillation Jianan Fan Dongnan Liu Hang Chang Heng-Chiao Huang Mei Chen Weidong (Tom) Cai OOD 36 9 0 27 Jul 2023
Multi-Layer Personalized Federated Learning for Mitigating Biases in Student Predictive Analytics Yun-Wei Chu Seyyedali Hosseinalipour Elizabeth Tenorio Laura Cruz K. Douglas Andrew Lan Christopher G. Brinton AI4Ed 56 10 0 05 Dec 2022
FedGS: Federated Graph-based Sampling with Arbitrary Client Availability Zhendong Wang Xiaoliang Fan Jianzhong Qi Haibing Jin Peizhen Yang Siqi Shen Cheng-i Wang FedML 36 13 0 25 Nov 2022
Towards Efficient Communications in Federated Learning: A Contemporary Survey Zihao Zhao Yuzhu Mao Yang Liu Linqi Song Ouyang Ye Xinlei Chen Wenbo Ding FedML 66 60 0 02 Aug 2022
Accelerated Federated Learning with Decoupled Adaptive Optimization Jiayin Jin Jiaxiang Ren Yang Zhou Lingjuan Lyu Ji Liu Dejing Dou AI4CE FedML 24 52 0 14 Jul 2022
Hypernetwork-based Personalized Federated Learning for Multi-Institutional CT Imaging Ziyuan Yang Wenjun Xia Zexin Lu Yingyu Chen Xiaoxia Li Yi Zhang FedML OOD 26 28 0 08 Jun 2022