FjORD: Fair and Accurate Federated Learning under heterogeneous targets with Ordered Dropout

26 February 2021

Stylianos I. Venieris

Nicholas D. Lane

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Papers citing "FjORD: Fair and Accurate Federated Learning under heterogeneous targets with Ordered Dropout"

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Title
HSplitLoRA: A Heterogeneous Split Parameter-Efficient Fine-Tuning Framework for Large Language Models Zheng Lin Yuxin Zhang Zhe Chen Zihan Fang Xianhao Chen Praneeth Vepakomma Wei Ni Jun-Jie Luo Yue Gao MoE 41 2 0 05 May 2025
Communication-Efficient Personalized Distributed Learning with Data and Node Heterogeneity Zhuojun Tian Zhaoyang Zhang Yiwei Li Mehdi Bennis 32 0 0 24 Apr 2025
SparsyFed: Sparse Adaptive Federated Training Adriano Guastella Lorenzo Sani Alex Iacob Alessio Mora Paolo Bellavista Nicholas D. Lane FedML 31 0 0 07 Apr 2025
A Two-Timescale Approach for Wireless Federated Learning with Parameter Freezing and Power Control Jinhao Ouyang Yuan Liu Hang Liu 36 0 0 02 Apr 2025
Enabling Weak Client Participation via On-device Knowledge Distillation in Heterogenous Federated Learning Jihyun Lim Junhyuk Jo Tuo Zhang Salman Avestimehr Sunwoo Lee FedML 51 0 0 14 Mar 2025
Drift-Aware Federated Learning: A Causal Perspective Yunjie Fang Sheng Wu Tao Yang X. Wu Bo Hu FedML 55 0 0 13 Mar 2025
Moss: Proxy Model-based Full-Weight Aggregation in Federated Learning with Heterogeneous Models Y. Cai Ziqi Zhang Ding Li Yao Guo Xiangqun Chen 50 0 0 13 Mar 2025
HFedCKD: Toward Robust Heterogeneous Federated Learning via Data-free Knowledge Distillation and Two-way Contrast Yiting Zheng Bohan Lin Jinqian Chen Jihua Zhu FedML 41 0 0 09 Mar 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 36 0 0 22 Feb 2025
FedORGP: Guiding Heterogeneous Federated Learning with Orthogonality Regularization on Global Prototypes Fucheng Guo Zeyu Luan Qing Li Dan Zhao Yong-jia Jiang FedML 48 0 0 22 Feb 2025
FedMHO: Heterogeneous One-Shot Federated Learning Towards Resource-Constrained Edge Devices Dezhong Yao Yuexin Shi Tongtong Liu Zhiqiang Xu 64 1 0 12 Feb 2025
FedGrAINS: Personalized SubGraph Federated Learning with Adaptive Neighbor Sampling Emir Ceyani Han Xie Baturalp Buyukates Carl Yang Salman Avestimehr FedML 97 0 0 22 Jan 2025
Efficient Federated Finetuning of Tiny Transformers with Resource-Constrained Devices Kilian Pfeiffer Mohamed Aboelenien Ahmed R. Khalili J. Henkel 30 0 0 12 Nov 2024
On Sampling Strategies for Spectral Model Sharding Denis Korzhenkov Christos Louizos FedML 40 0 0 31 Oct 2024
LEGO: Language Model Building Blocks Shrenik Bhansali Alwin Jin Tyler Lizzo Larry Heck 16 0 0 23 Oct 2024
Geographical Node Clustering and Grouping to Guarantee Data IIDness in Federated Learning Minkwon Lee Hyoil Kim Changhee Joo FedML OOD 20 0 0 21 Oct 2024
Why Go Full? Elevating Federated Learning Through Partial Network Updates Haolin Wang Xuefeng Liu Jianwei Niu Wenkai Guo Shaojie Tang FedML 29 0 0 15 Oct 2024
Adaptive Guidance for Local Training in Heterogeneous Federated Learning Jianqing Zhang Yang Janet Liu Yang Hua Jian Cao Qiang Yang FedML 32 0 0 09 Oct 2024
FedPeWS: Personalized Warmup via Subnetworks for Enhanced Heterogeneous Federated Learning Nurbek Tastan Samuel Horváth Martin Takáč Karthik Nandakumar FedML 57 0 0 03 Oct 2024
Towards Diverse Device Heterogeneous Federated Learning via Task Arithmetic Knowledge Integration Mahdi Morafah Vyacheslav Kungurtsev Hojin Chang C. L. P. Chen Bill Lin FedML 34 0 0 27 Sep 2024
Exploring System-Heterogeneous Federated Learning with Dynamic Model Selection Dixi Yao FedML 28 0 0 13 Sep 2024
Heterogeneity-Aware Coordination for Federated Learning via Stitching Pre-trained blocks Shichen Zhan Yebo Wu Chunlin Tian Yan Zhao Li Li FedML 23 2 0 11 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 55 0 0 19 Aug 2024
FIARSE: Model-Heterogeneous Federated Learning via Importance-Aware Submodel Extraction Feijie Wu Xingchen Wang Yaqing Wang Tianci Liu Lu Su Jing Gao FedML 43 3 0 28 Jul 2024
FedAR: Addressing Client Unavailability in Federated Learning with Local Update Approximation and Rectification Chutian Jiang Hansong Zhou Xiaonan Zhang Shayok Chakraborty FedML 43 1 0 26 Jul 2024
Training-Free Model Merging for Multi-target Domain Adaptation Wenyi Li Huan-ang Gao Mingju Gao Beiwen Tian Rong Zhi Hao Zhao MoMe 53 5 0 18 Jul 2024
FlexFL: Heterogeneous Federated Learning via APoZ-Guided Flexible Pruning in Uncertain Scenarios Zekai Chen Chentao Jia Ming Hu Xiaofei Xie Anran Li Mingsong Chen 29 4 0 17 Jul 2024
Embracing Federated Learning: Enabling Weak Client Participation via Partial Model Training Sunwoo Lee Tuo Zhang Saurav Prakash Yue Niu Salman Avestimehr FedML 35 4 0 21 Jun 2024
Knowledge Distillation in Federated Learning: a Survey on Long Lasting Challenges and New Solutions Laiqiao Qin Tianqing Zhu Wanlei Zhou Philip S. Yu 40 5 0 16 Jun 2024
Federated LoRA with Sparse Communication Kevin Kuo Arian Raje Kousik Rajesh Virginia Smith 38 7 0 07 Jun 2024
Federated Model Heterogeneous Matryoshka Representation Learning Liping Yi Han Yu Chao Ren Gang Wang Xiaoguang Liu Xiaoxiao Li FedML 43 8 0 01 Jun 2024
Selective Knowledge Sharing for Personalized Federated Learning Under Capacity Heterogeneity Zheng Wang Zheng Wang Zhaopeng Peng Zihui Wang Cheng-i Wang FedML 35 0 0 31 May 2024
Exploring the Practicality of Federated Learning: A Survey Towards the Communication Perspective Khiem H. Le Nhan Luong-Ha Manh Nguyen-Duc Danh Le-Phuoc Cuong D. Do Kok-Seng Wong FedML 29 1 0 30 May 2024
subMFL: Compatiple subModel Generation for Federated Learning in Device Heterogenous Environment Zeyneddin Oz Ceylan Soygul Oz A. Malekjafarian Nima Afraz Fatemeh Golpayegani FedML 25 0 0 30 May 2024
FedSAC: Dynamic Submodel Allocation for Collaborative Fairness in Federated Learning Zihui Wang Zheng Wang Lingjuan Lyu Zhaopeng Peng Zhicheng Yang Chenglu Wen Rongshan Yu Cheng-i Wang Xiaoliang Fan FedML 35 2 0 28 May 2024
Federating Dynamic Models using Early-Exit Architectures for Automatic Speech Recognition on Heterogeneous Clients Mohamed Nabih Ali A. Brutti Daniele Falavigna 34 0 0 27 May 2024
Fair Federated Learning under Domain Skew with Local Consistency and Domain Diversity Yuhang Chen Wenke Huang Mang Ye FedML 40 16 0 26 May 2024
Recurrent Early Exits for Federated Learning with Heterogeneous Clients Royson Lee Javier Fernandez-Marques S. Hu Da Li Stefanos Laskaridis L. Dudziak Timothy M. Hospedales Ferenc Huszár Nicholas D. Lane 36 3 0 23 May 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 40 1 0 01 May 2024
pFedAFM: Adaptive Feature Mixture for Batch-Level Personalization in Heterogeneous Federated Learning Liping Yi Han Yu Chao Ren Heng-Ming Zhang Gang Wang Xiaoguang Liu Xiaoxiao Li 35 2 0 27 Apr 2024
FedGreen: Carbon-aware Federated Learning with Model Size Adaptation Ali Abbasi Fan Dong Xin Wang Henry Leung Jiayu Zhou Steve Drew 27 0 0 23 Apr 2024
Advances and Open Challenges in Federated Learning with Foundation Models Chao Ren Han Yu Hongyi Peng Xiaoli Tang Anran Li ... A. Tan Bo Zhao Xiaoxiao Li Zengxiang Li Qiang Yang FedML AIFin AI4CE 72 6 0 23 Apr 2024
FedTrans: Efficient Federated Learning via Multi-Model Transformation Yuxuan Zhu Jiachen Liu Mosharaf Chowdhury Fan Lai 38 0 0 21 Apr 2024
FedMID: A Data-Free Method for Using Intermediate Outputs as a Defense Mechanism Against Poisoning Attacks in Federated Learning Sungwon Han Hyeonho Song Sungwon Park Meeyoung Cha FedML AAML 30 0 0 18 Apr 2024
FedP3: Federated Personalized and Privacy-friendly Network Pruning under Model Heterogeneity Kai Yi Nidham Gazagnadou Peter Richtárik Lingjuan Lyu 76 11 0 15 Apr 2024
Automated Federated Pipeline for Parameter-Efficient Fine-Tuning of Large Language Models Zihan Fang Zheng Lin Zhe Chen Xianhao Chen Yue Gao Yuguang Fang 46 34 0 09 Apr 2024
Federated Distillation: A Survey Lin Li Jianping Gou Baosheng Yu Lan Du Zhang Yiand Dacheng Tao DD FedML 53 4 0 02 Apr 2024
An Upload-Efficient Scheme for Transferring Knowledge From a Server-Side Pre-trained Generator to Clients in Heterogeneous Federated Learning Jianqing Zhang Yang Janet Liu Yang Hua Jian Cao 80 11 0 23 Mar 2024
FedSPU: Personalized Federated Learning for Resource-constrained Devices with Stochastic Parameter Update Ziru Niu Hai Dong •. A. K. Qin 34 2 0 18 Mar 2024
FedBRB: An Effective Solution to the Small-to-Large Scenario in Device-Heterogeneity Federated Learning Ziyue Xu Ming Xu Tianchi Liao Zibin Zheng Chuan Chen FedML 32 2 0 27 Feb 2024