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Federated Optimization in Heterogeneous Networks

14 December 2018

Papers citing "Federated Optimization in Heterogeneous Networks"

50 / 1,024 papers shown

Title
FedBWO: Enhancing Communication Efficiency in Federated Learning Vahideh Hayyolalam Öznur Özkasap FedML 87 0 0 07 May 2025
Lazy But Effective: Collaborative Personalized Federated Learning with Heterogeneous Data Ljubomir Rokvic Panayiotis Danassis Boi Faltings FedML 163 0 0 05 May 2025
FedSDAF: Leveraging Source Domain Awareness for Enhanced Federated Domain Generalization Haoyang Li Zesheng Zhou Zhenbiao Cao Xiaochen Li Wei Chen Xinsong Zhang FedML 133 0 0 05 May 2025
Rethinking Federated Graph Learning: A Data Condensation Perspective Hao Zhang Miao Hu Yinlin Zhu Lianglin Hu FedML DD AI4CE 103 0 0 05 May 2025
Privacy Preserving Machine Learning Model Personalization through Federated Personalized Learning Md. Tanzib Hosain Asif Zaman Md. Shahriar Sajid Shadman Sakeeb Khan Shanjida Akter 88 4 0 03 May 2025
Graph Privacy: A Heterogeneous Federated GNN for Trans-Border Financial Data Circulation Zhizhong Tan Jiexin Zheng Kevin Qi Zhang Wenyong Wang FedML 82 0 0 01 May 2025
A Generalized Meta Federated Learning Framework with Theoretical Convergence Guarantees Mohammad Vahid Jamali Hamid Saber J. Bae FedML 53 0 0 30 Apr 2025
Token-Level Prompt Mixture with Parameter-Free Routing for Federated Domain Generalization Shuai Gong C. Cui Xiaolin Dong Xiushan Nie Lei Zhu Xiaojun Chang FedML MoE 117 0 0 29 Apr 2025
Soft-Label Caching and Sharpening for Communication-Efficient Federated Distillation Kitsuya Azuma Takayuki Nishio Yuichi Kitagawa Wakako Nakano Takahito Tanimura FedML 177 0 0 28 Apr 2025
Pseudo-Asynchronous Local SGD: Robust and Efficient Data-Parallel Training Hiroki Naganuma Xinzhi Zhang Man-Chung Yue Ioannis Mitliagkas Philipp A. Witte Russell J. Hewett Yin Tat Lee 253 0 0 25 Apr 2025
Learning Critically: Selective Self Distillation in Federated Learning on Non-IID Data Yuting He Yiqiang Chen Xiaodong Yang H. Yu Yi-Hua Huang Yang Gu FedML 181 22 0 20 Apr 2025
Local Data Quantity-Aware Weighted Averaging for Federated Learning with Dishonest Clients Leming Wu Yaochu Jin K. Hao Han Yu FedML 149 0 0 17 Apr 2025
FedEPA: Enhancing Personalization and Modality Alignment in Multimodal Federated Learning Yu Zhang Qingfeng Du Jiaqi Lv 92 0 0 16 Apr 2025
FHBench: Towards Efficient and Personalized Federated Learning for Multimodal Healthcare Penghao Wang Qian Chen Teng Zhang Yu Zhang Wang Lu Yiqiang Chen 88 0 0 15 Apr 2025
Query-based Knowledge Transfer for Heterogeneous Learning Environments Norah Alballa Wenxuan Zhang Ziquan Liu A. Abdelmoniem Mohamed Elhoseiny Marco Canini 186 0 0 12 Apr 2025
Corrected with the Latest Version: Make Robust Asynchronous Federated Learning Possible Chaoyi Lu Yiding Sun Pengbo Li Zhichuan Yang FedML 119 1 0 05 Apr 2025
Investigating Large Language Models in Diagnosing Students' Cognitive Skills in Math Problem-solving Hyoungwook Jin Yoonsu Kim Dongyun Jung Seungju Kim Kiyoon Choi J. Son Juho Kim LRM 122 0 0 01 Apr 2025
Communication-Efficient and Personalized Federated Foundation Model Fine-Tuning via Tri-Matrix Adaptation Yongqian Li Bo Liu Sheng Huang Zhe Zhang Xiaotong Yuan Richang Hong 143 1 0 31 Mar 2025
PDSL: Privacy-Preserved Decentralized Stochastic Learning with Heterogeneous Data Distribution Lina Wang Yunsheng Yuan Chunxiao Wang Feng Li FedML 121 0 0 31 Mar 2025
Noise Resilient Over-The-Air Federated Learning In Heterogeneous Wireless Networks Zubair Shaban Nazreen Shah Ranjitha Prasad 72 0 0 25 Mar 2025
FedMM-X: A Trustworthy and Interpretable Framework for Federated Multi-Modal Learning in Dynamic Environments Sree Bhargavi Balija FedML 92 0 0 25 Mar 2025
On-Device Federated Continual Learning on RISC-V-based Ultra-Low-Power SoC for Intelligent Nano-Drone Swarms Lars Kröger Cristian Cioflan V. Kartsch Luca Benini 88 0 0 21 Mar 2025
FedLWS: Federated Learning with Adaptive Layer-wise Weight Shrinking Changlong Shi Jinmeng Li He Zhao D. Guo Yi Chang FedML 126 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 84 3 0 17 Mar 2025
FedVSR: Towards Model-Agnostic Federated Learning in Video Super-Resolution Ali Mollaahmadi Dehaghi Hossein KhademSohi Reza Razavi Steve Drew Mohammad Moshirpour FedML 107 0 0 17 Mar 2025
A Survey on Federated Fine-tuning of Large Language Models Yebo Wu Chunlin Tian Jingguang Li He Sun Kahou Tam Zhanting Zhou Haicheng Liao Zhijiang Guo Li Li Chengzhong Xu FedML 149 5 0 15 Mar 2025
dFLMoE: Decentralized Federated Learning via Mixture of Experts for Medical Data Analysis Luyuan Xie Tianyu Luan Wenyuan Cai Guochen Yan Zhaoyu Chen Nan Xi Yuejian Fang Qingni Shen Zhonghai Wu Junsong Yuan FedML 315 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 159 0 0 13 Mar 2025
Robust Asymmetric Heterogeneous Federated Learning with Corrupted Clients Xiuwen Fang Mang Ye Di Lin FedML 180 1 0 12 Mar 2025
PRISM: Privacy-Preserving Improved Stochastic Masking for Federated Generative Models Kyeongkook Seo Dong-Jun Han Jaejun Yoo 143 1 0 11 Mar 2025
Geometric Knowledge-Guided Localized Global Distribution Alignment for Federated Learning Yanbiao Ma Wei-Ming Dai Wenke Huang Jiayi Chen 262 0 0 09 Mar 2025
FedMABench: Benchmarking Mobile Agents on Decentralized Heterogeneous User Data Wenhao Wang Zijie Yu Guangyi Liu J.N. Zhang Tian Jin Yanfeng Wang FedML 102 1 0 07 Mar 2025
Personalized Federated Learning via Learning Dynamic Graphs Ziran Zhou Guanyu Gao Xiaohu Wu Yan Lyu FedML 87 1 0 07 Mar 2025
Generalization in Federated Learning: A Conditional Mutual Information Framework Ziqiao Wang Cheng Long Yongyi Mao FedML 99 1 0 06 Mar 2025
One-Shot Clustering for Federated Learning Maciej Krzysztof Zuziak Roberto Pellungrini Salvatore Rinzivillo FedML 172 0 0 06 Mar 2025
FedPalm: A General Federated Learning Framework for Closed- and Open-Set Palmprint Verification Ziyuan Yang Yingyu Chen Chengrui Gao Andrew Beng Jin Teoh Bob Zhang Yi Zhang FedML 91 0 0 05 Mar 2025
Heterogeneity Matters even More in Distributed Learning: Study from Generalization Perspective Masoud Kavian Romain Chor Milad Sefidgaran Abdellatif Zaidi FedML 114 1 0 03 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 105 2 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 125 0 0 01 Mar 2025
FedMentalCare: Towards Privacy-Preserving Fine-Tuned LLMs to Analyze Mental Health Status Using Federated Learning Framework S M Sarwar AI4MH 75 1 0 27 Feb 2025
FAA-CLIP: Federated Adversarial Adaptation of CLIP Yihang Wu Ahmad Chaddad Christian Desrosiers Tareef Daqqaq R. Kateb VLM 102 0 0 26 Feb 2025
Feature Aggregation with Latent Generative Replay for Federated Continual Learning of Socially Appropriate Robot Behaviours Nikhil Churamani Saksham Checker Fethiye Irmak Dogan Hao-Tien Lewis Chiang Hatice Gunes FedML 160 1 0 24 Feb 2025
Robust Federated Learning with Global Sensitivity Estimation for Financial Risk Management Lei Zhao Lin Cai Wu-Sheng Lu FedML 133 0 0 24 Feb 2025
Virtual Nodes Can Help: Tackling Distribution Shifts in Federated Graph Learning Xingbo Fu Zihan Chen Yinhan He Song Wang Binchi Zhang Chen Chen Jundong Li OOD FedML 191 1 0 24 Feb 2025
Robust Federated Learning in Unreliable Wireless Networks: A Client Selection Approach Yansen Wang Wenkai Ji Jian Zhou Fu Xiao Tsung-Hui Chang 126 0 0 24 Feb 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 102 0 0 22 Feb 2025
Orthogonal Calibration for Asynchronous Federated Learning Jiayun Zhang Shuheng Li Haiyu Huang Xiaofan Yu Rajesh K. Gupta Jingbo Shang FedML 101 0 0 21 Feb 2025
Accurate Forgetting for Heterogeneous Federated Continual Learning Abudukelimu Wuerkaixi Sen Cui J.N. Zhang Kunda Yan Bo Han Gang Niu Lei Fang Changshui Zhang Masashi Sugiyama 250 12 0 20 Feb 2025
FedMobile: Enabling Knowledge Contribution-aware Multi-modal Federated Learning with Incomplete Modalities Yi Liu Cong Wang Lizhen Qu 97 0 0 20 Feb 2025
Homophily Heterogeneity Matters in Graph Federated Learning: A Spectrum Sharing and Complementing Perspective Wentao Yu FedML 107 0 0 20 Feb 2025