Measuring the Effects of Non-Identical Data Distribution for Federated Visual Classification

13 September 2019

Papers citing "Measuring the Effects of Non-Identical Data Distribution for Federated Visual Classification"

50 / 204 papers shown

Title
Communication-Efficient Federated Fine-Tuning of Language Models via Dynamic Update Schedules Michail Theologitis V. Samoladas Antonios Deligiannakis 29 0 0 07 May 2025
Small-Scale-Fading-Aware Resource Allocation in Wireless Federated Learning Jiacheng Wang Le Liang Hao Ye Chongtao Guo Shi Jin 42 0 0 06 May 2025
Lazy But Effective: Collaborative Personalized Federated Learning with Heterogeneous Data Ljubomir Rokvic Panayiotis Danassis Boi Faltings FedML 35 0 0 05 May 2025
Towards Trustworthy Federated Learning with Untrusted Participants Youssef Allouah R. Guerraoui John Stephan FedML 50 0 0 03 May 2025
Soft-Label Caching and Sharpening for Communication-Efficient Federated Distillation Kitsuya Azuma Takayuki Nishio Yuichi Kitagawa Wakako Nakano Takahito Tanimura FedML 70 0 0 28 Apr 2025
FedMerge: Federated Personalization via Model Merging Shutong Chen Tianyi Zhou Guodong Long Jing Jiang Chengqi Zhang FedML MoMe 49 0 0 09 Apr 2025
A Novel Algorithm for Personalized Federated Learning: Knowledge Distillation with Weighted Combination Loss Hengrui Hu Anai N. Kothari Anjishnu Banerjee FedML 38 0 0 06 Apr 2025
Corrected with the Latest Version: Make Robust Asynchronous Federated Learning Possible Chaoyi Lu Yiding Sun Pengbo Li Zhichuan Yang FedML 34 0 0 05 Apr 2025
FedBEns: One-Shot Federated Learning based on Bayesian Ensemble Jacopo Talpini Marco Savi Giovanni Neglia FedML Presented at ResearchTrend Connect \| FedML on 07 May 2025 76 0 0 19 Mar 2025
FedLWS: Federated Learning with Adaptive Layer-wise Weight Shrinking Changlong Shi Jinmeng Li He Zhao D. Guo Yi Chang FedML 47 0 0 19 Mar 2025
Redefining non-IID Data in Federated Learning for Computer Vision Tasks: Migrating from Labels to Embeddings for Task-Specific Data Distributions Kasra Borazjani Payam Abdisarabshali Naji Khosravan Seyyedali Hosseinalipour FedML 36 1 0 17 Mar 2025
Detecting Backdoor Attacks in Federated Learning via Direction Alignment Inspection Jiahao Xu Zikai Zhang Rui Hu AAML FedML Presented at ResearchTrend Connect \| FedML on 28 Mar 2025 145 0 0 11 Mar 2025
A Lightweight and Secure Deep Learning Model for Privacy-Preserving Federated Learning in Intelligent Enterprises Reza Fotohi Fereidoon Shams Aliee Bahar Farahani FedML 65 1 0 03 Mar 2025
MAB-Based Channel Scheduling for Asynchronous Federated Learning in Non-Stationary Environments Z. Li Yubo Yang Tao Yang X. Wu Ziyu Guo Bo Hu 64 0 0 03 Mar 2025
Communication-Efficient Device Scheduling for Federated Learning Using Lyapunov Optimization Jake B. Perazzone Shiqiang Wang Mingyue Ji Kevin S. Chan FedML 73 0 0 01 Mar 2025
FedConv: A Learning-on-Model Paradigm for Heterogeneous Federated Clients Leming Shen Qiang Yang Kaiyan Cui Yuanqing Zheng Xiao-Yong Wei Jianwei Liu Jinsong Han FedML 66 11 0 28 Feb 2025
Orthogonal Calibration for Asynchronous Federated Learning Jiayun Zhang Shuheng Li Haiyu Huang Xiaofan Yu Rajesh K. Gupta Jingbo Shang FedML 62 0 0 21 Feb 2025
Decentralized and Robust Privacy-Preserving Model Using Blockchain-Enabled Federated Deep Learning in Intelligent Enterprises Reza Fotohi Fereidoon Shams Aliee Bahar Farahani FedML 79 8 0 18 Feb 2025
Enhancing the Convergence of Federated Learning Aggregation Strategies with Limited Data Judith Sáinz-Pardo Díaz Á. García 31 0 0 28 Jan 2025
Scalable Decentralized Learning with Teleportation Yuki Takezawa Sebastian U. Stich 56 1 0 25 Jan 2025
FedCLEAN: byzantine defense by CLustering Errors of Activation maps in Non-IID federated learning environments Mehdi Ben Ghali R. Bellafqira G. Coatrieux AAML FedML 43 0 0 21 Jan 2025
FedSat: A Statistical Aggregation Approach for Class Imbalanced Clients in Federated Learning S. Chowdhury Raju Halder FedML 40 0 0 31 Dec 2024
Understanding Generalization of Federated Learning: the Trade-off between Model Stability and Optimization Dun Zeng Zheshun Wu Shiyu Liu Yu Pan Xiaoying Tang Zenglin Xu MLT FedML 89 1 0 25 Nov 2024
Generative AI-Powered Plugin for Robust Federated Learning in Heterogeneous IoT Networks Youngjoon Lee J. Gong Joonhyuk Kang 47 0 0 31 Oct 2024
Data Quality Control in Federated Instruction-tuning of Large Language Models Yaxin Du Rui Ye Fengting Yuchi W. Zhao Jingjing Qu Yuanda Wang Siheng Chen ALM FedML 51 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
OledFL: Unleashing the Potential of Decentralized Federated Learning via Opposite Lookahead Enhancement Qinglun Li Miao Zhang Mengzhu Wang Quanjun Yin Li Shen OODD FedML 24 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
Federated Instruction Tuning of LLMs with Domain Coverage Augmentation Zezhou Wang Yaxin Du Zhuzhong Qian Yugang Jiang Zhuzhong Qian Siheng Chen FedML 137 0 0 30 Sep 2024
Infighting in the Dark: Multi-Label Backdoor Attack in Federated Learning Ye Li Yanchao Zhao Chengcheng Zhu Jiale Zhang AAML 36 0 0 29 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
Robust Federated Learning Over the Air: Combating Heavy-Tailed Noise with Median Anchored Clipping Jiaxing Li Zihan Chen Kai Fong Ernest Chong Bikramjit Das Tony Q. S. Quek Howard H. Yang 32 0 0 23 Sep 2024
Federated Learning with Label-Masking Distillation Jianghu Lu Shikun Li Kexin Bao Pengju Wang Zhenxing Qian Shiming Ge FedML 39 10 0 20 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
Advances in APPFL: A Comprehensive and Extensible Federated Learning Framework Zilinghan Li Shilan He Ze Yang Minseok Ryu Kibaek Kim Ravi K. Madduri FedML 52 5 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
Advancing Hybrid Defense for Byzantine Attacks in Federated Learning Kai Yue Richeng Jin Chau-Wai Wong H. Dai AAML 36 0 0 10 Sep 2024
FedBrain-Distill: Communication-Efficient Federated Brain Tumor Classification Using Ensemble Knowledge Distillation on Non-IID Data Rasoul Jafari Gohari Laya Aliahmadipour Ezat Valipour FedML 31 0 0 09 Sep 2024
Wind turbine condition monitoring based on intra- and inter-farm federated learning Albin Grataloup Stefan Jonas Angela Meyer AI4CE 33 0 0 05 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
FedQUIT: On-Device Federated Unlearning via a Quasi-Competent Virtual Teacher Alessio Mora Lorenzo Valerio Paolo Bellavista A. Passarella FedML MU 44 2 0 14 Aug 2024
Iterative Ensemble Training with Anti-Gradient Control for Mitigating Memorization in Diffusion Models Xiao Liu Xiaoliu Guan Yu Wu Jiaxu Miao 42 7 0 22 Jul 2024
FedPylot: Navigating Federated Learning for Real-Time Object Detection in Internet of Vehicles Cyprien Quéméneur S. Cherkaoui 43 3 0 05 Jun 2024
Harnessing Increased Client Participation with Cohort-Parallel Federated Learning Akash Dhasade Anne-Marie Kermarrec Tuan-Anh Nguyen Rafael Pires M. Vos FedML 33 0 0 24 May 2024
SADDLe: Sharpness-Aware Decentralized Deep Learning with Heterogeneous Data Sakshi Choudhary Sai Aparna Aketi Kaushik Roy FedML 45 0 0 22 May 2024
Employing Federated Learning for Training Autonomous HVAC Systems Fredrik Hagström Vikas K. Garg Fabricio Oliveira AI4CE 64 0 0 01 May 2024
On the Impact of Data Heterogeneity in Federated Learning Environments with Application to Healthcare Networks Usevalad Milasheuski Bernardo Camajori Tedeschini M. Nicoli S. Savazzi OOD 20 5 0 29 Apr 2024
Collaborative Visual Place Recognition through Federated Learning Mattia Dutto Gabriele Berton Debora Caldarola Eros Fani Gabriele Trivigno Carlo Masone FedML 32 1 0 20 Apr 2024
FedUV: Uniformity and Variance for Heterogeneous Federated Learning Ha Min Son M. Kim Tai-Myung Chung Chao Huang Xin Liu FedML 43 3 0 27 Feb 2024
FedImpro: Measuring and Improving Client Update in Federated Learning Zhenheng Tang Yonggang Zhang S. Shi Xinmei Tian Tongliang Liu Bo Han Xiaowen Chu FedML 22 13 0 10 Feb 2024