Federated Optimization in Heterogeneous Networks

14 December 2018

Papers citing "Federated Optimization in Heterogeneous Networks"

50 / 730 papers shown

Title
Agent Skill Acquisition for Large Language Models via CycleQD So Kuroki Taishi Nakamura Takuya Akiba Yujin Tang MoMe 36 0 0 16 Oct 2024
Data Quality Control in Federated Instruction-tuning of Large Language Models Yaxin Du Rui Ye Fengting Yuchi W. Zhao Jingjing Qu Yalin Wang Siheng Chen ALM FedML 53 0 0 15 Oct 2024
Mixture of Experts Made Personalized: Federated Prompt Learning for Vision-Language Models Jun Luo Cheng Chen Shandong Wu FedML VLM MoE 52 3 0 14 Oct 2024
Scalable and Resource-Efficient Second-Order Federated Learning via Over-the-Air Aggregation Abdulmomen Ghalkha Chaouki Ben Issaid Mehdi Bennis 29 0 0 10 Oct 2024
Benchmarking Data Heterogeneity Evaluation Approaches for Personalized Federated Learning Zhilong Li Xiaohu Wu Xiaoli Tang Tiantian He Yew-Soon Ong Mengmeng Chen Qiqi Liu Qicheng Lao Han Yu FedML 40 1 0 09 Oct 2024
OledFL: Unleashing the Potential of Decentralized Federated Learning via Opposite Lookahead Enhancement Qinglun Li Miao Zhang Mengzhu Wang Quanjun Yin Li Shen OODD FedML 26 0 0 09 Oct 2024
Aiding Global Convergence in Federated Learning via Local Perturbation and Mutual Similarity Information Emanuel Buttaci Giuseppe Carlo Calafiore FedML 27 0 0 07 Oct 2024
FRIDA: Free-Rider Detection using Privacy Attacks Pol G. Recasens Ádám Horváth Alberto Gutierrez-Torre Jordi Torres Josep Ll. Berral Balázs Pejó FedML 30 0 0 07 Oct 2024
FedPeWS: Personalized Warmup via Subnetworks for Enhanced Heterogeneous Federated Learning Nurbek Tastan Samuel Horváth Martin Takáč Karthik Nandakumar FedML 59 0 0 03 Oct 2024
Selective Aggregation for Low-Rank Adaptation in Federated Learning Pengxin Guo Shuang Zeng Y. Wang Huijie Fan Feifei Wang Liangqiong Qu FedML 44 10 0 02 Oct 2024
Federated Instruction Tuning of LLMs with Domain Coverage Augmentation Zezhou Wang Yaxin Du Zhuzhong Qian Yugang Jiang Zhuzhong Qian Siheng Chen FedML 140 0 0 30 Sep 2024
A-FedPD: Aligning Dual-Drift is All Federated Primal-Dual Learning Needs Yan Sun Li Shen Dacheng Tao FedML 25 0 0 27 Sep 2024
Adversarial Federated Consensus Learning for Surface Defect Classification Under Data Heterogeneity in IIoT Jixuan Cui Jun Li Zhen Mei Yiyang Ni Wen Chen Zengxiang Li FedML 35 0 0 24 Sep 2024
SDBA: A Stealthy and Long-Lasting Durable Backdoor Attack in Federated Learning Minyeong Choe Cheolhee Park Changho Seo Hyunil Kim SILM AAML FedML 33 0 0 23 Sep 2024
Federated Learning with Label-Masking Distillation Jianghu Lu Shikun Li Kexin Bao Pengju Wang Zhenxing Qian Shiming Ge FedML 47 10 0 20 Sep 2024
FedAT: Federated Adversarial Training for Distributed Insider Threat Detection R. Gayathri Atul Sajjanhar Md Palash Uddin Yong Xiang FedML 23 0 0 19 Sep 2024
Few-Shot Class-Incremental Learning with Non-IID Decentralized Data Cuiwei Liu Siang Xu Huaijun Qiu Jing Zhang Zhi Liu Liang Zhao CLL 34 0 0 18 Sep 2024
FedNE: Surrogate-Assisted Federated Neighbor Embedding for Dimensionality Reduction Ziwei Li Xiaoqi Wang Hong-You Chen Han-Wei Shen Wei-Lun Chao FedML 32 0 0 17 Sep 2024
TPFL: Tsetlin-Personalized Federated Learning with Confidence-Based Clustering Rasoul Jafari Gohari Laya Aliahmadipour Ezat Valipour FedML 32 0 0 16 Sep 2024
On the effects of similarity metrics in decentralized deep learning under distributional shift Edvin Listo Zec Tom Hagander Eric Ihre-Thomason Sarunas Girdzijauskas FedML 47 0 0 16 Sep 2024
Privacy-preserving federated prediction of pain intensity change based on multi-center survey data Supratim Das Mahdie Rafie Paula Kammer S. Skou D. T. Grønne ... Hans-Helmut Konig Md Shihab Ullaha Niklas Probul Jan Baumbacha L. Baumbach OOD FedML 43 0 0 12 Sep 2024
pFedGPA: Diffusion-based Generative Parameter Aggregation for Personalized Federated Learning Jiahao Lai J. Li Jian Xu Yanru Wu Boshi Tang Siqi Chen Yongfeng Huang Wenbo Ding Yang Li FedML 73 0 0 09 Sep 2024
FedModule: A Modular Federated Learning Framework Chuyi Chen Zhe Zhang Yanchao Zhao FedML 28 0 0 07 Sep 2024
Wind turbine condition monitoring based on intra- and inter-farm federated learning Albin Grataloup Stefan Jonas Angela Meyer AI4CE 38 0 0 05 Sep 2024
Federated Prediction-Powered Inference from Decentralized Data Ping Luo Xiaoge Deng Ziqing Wen Tao Sun Dongsheng Li FedML 35 0 0 03 Sep 2024
Buffer-based Gradient Projection for Continual Federated Learning Shenghong Dai Jy-yong Sohn Yicong Chen S. Alam Ravikumar Balakrishnan Suman Banerjee N. Himayat Kangwook Lee FedML 75 2 0 03 Sep 2024
Diffusion-Driven Data Replay: A Novel Approach to Combat Forgetting in Federated Class Continual Learning Jinglin Liang Jin Zhong Hanlin Gu Zhongqi Lu Xingxing Tang Gang Dai Shuangping Huang Lixin Fan Qiang Yang DiffM 44 7 0 02 Sep 2024
The Key of Parameter Skew in Federated Learning Sifan Wang Junfeng Liao Ye Yuan Riquan Zhang FedML 41 0 0 21 Aug 2024
Online-Score-Aided Federated Learning: Taming the Resource Constraints in Wireless Networks Md Ferdous Pervej Minseok Choi A. Molisch 33 0 0 12 Aug 2024
On the Convergence of a Federated Expectation-Maximization Algorithm Zhixu Tao Rajita Chandak Sanjeev R. Kulkarni FedML 32 0 0 11 Aug 2024
A Federated Learning-Friendly Approach for Parameter-Efficient Fine-Tuning of SAM in 3D Segmentation Mothilal Asokan Difei Gao Joya Chen Mike Zheng Shou FedML MedIm 39 1 0 31 Jul 2024
DualFed: Enjoying both Generalization and Personalization in Federated Learning via Hierachical Representations Guogang Zhu Xuefeng Liu Jianwei Niu Shaojie Tang Xinghao Wu Jiayuan Zhang AI4CE 52 1 0 25 Jul 2024
On ADMM in Heterogeneous Federated Learning: Personalization, Robustness, and Fairness Shengkun Zhu Jinshan Zeng Sheng Wang Yuan Sun Xiaodong Li Yuan Yao Zhiyong Peng 52 0 0 23 Jul 2024
Resource-Efficient Federated Multimodal Learning via Layer-wise and Progressive Training Ye Lin Tun Chu Myaet Thwal Minh N. H. Nguyen Choong Seon Hong 45 0 0 22 Jul 2024
Trust and Resilience in Federated Learning Through Smart Contracts Enabled Decentralized Systems Lorenzo Cassano Jacopo DÁbramo Siraj Munir Stefano Ferretti FedML 37 1 0 09 Jul 2024
FedMRL: Data Heterogeneity Aware Federated Multi-agent Deep Reinforcement Learning for Medical Imaging Pranab Sahoo Ashutosh Tripathi Sriparna Saha S. Mondal 45 0 0 08 Jul 2024
Federated Distillation for Medical Image Classification: Towards Trustworthy Computer-Aided Diagnosis Sufen Ren Yule Hu Shengchao Chen Guanjun Wang 34 1 0 02 Jul 2024
Personalized Federated Continual Learning via Multi-granularity Prompt Hao Yu Xin Yang Xin Gao Yan Kang Hao Wang Junbo Zhang Tianrui Li CLL 57 6 0 27 Jun 2024
Federated Graph Semantic and Structural Learning Wenke Huang Guancheng Wan Mang Ye Bo Du FedML 36 42 0 27 Jun 2024
Personalized federated learning based on feature fusion Wolong Xing Zhenkui Shi Hongyan Peng Xiantao Hu Xianxian Li FedML 39 0 0 24 Jun 2024
Semi-Variance Reduction for Fair Federated Learning Saber Malekmohammadi Yaoliang Yu FedML 80 1 0 23 Jun 2024
Federated Active Learning Framework for Efficient Annotation Strategy in Skin-lesion Classification Zhipeng Deng Yuqiao Yang Kenji Suzuki MedIm FedML 54 1 0 17 Jun 2024
Promoting Data and Model Privacy in Federated Learning through Quantized LoRA Jianhao Zhu Changze Lv Xiaohua Wang Muling Wu Wenhao Liu Tianlong Li Zixuan Ling Cenyuan Zhang Xiaoqing Zheng Xuanjing Huang 41 3 0 16 Jun 2024
Federated Learning with Flexible Architectures Jong-Ik Park Carlee Joe-Wong FedML 45 3 0 14 Jun 2024
FDLoRA: Personalized Federated Learning of Large Language Model via Dual LoRA Tuning Jiaxing Qi Zhongzhi Luan Shaohan Huang Carol J. Fung Hailong Yang Depei Qian 32 12 0 12 Jun 2024
Regularizing and Aggregating Clients with Class Distribution for Personalized Federated Learning Gyuejeong Lee Daeyoung Choi 46 0 0 12 Jun 2024
FedPylot: Navigating Federated Learning for Real-Time Object Detection in Internet of Vehicles Cyprien Quéméneur S. Cherkaoui 43 3 0 05 Jun 2024
Towards Federated Domain Unlearning: Verification Methodologies and Challenges Kahou Tam Kewei Xu Li Li Huazhu Fu MU 43 1 0 05 Jun 2024
FedDr+: Stabilizing Dot-regression with Global Feature Distillation for Federated Learning Seongyoon Kim Minchan Jeong Sungnyun Kim Sungwoo Cho Sumyeong Ahn Se-Young Yun FedML 47 0 0 04 Jun 2024
Asynchronous Byzantine Federated Learning Bart Cox Abele Malan Lydia Y. Chen Jérémie Decouchant 50 1 0 03 Jun 2024