Federated Learning: Challenges, Methods, and Future Directions

21 August 2019

Papers citing "Federated Learning: Challenges, Methods, and Future Directions"

50 / 549 papers shown

Title
Rethinking Client Drift in Federated Learning: A Logit Perspective Yu-bao Yan Chun-Mei Feng Senior Member Ieee Wangmeng Zuo Senior Member Ieee Mang Ye Mong Goh Ping Li Rick Siow Lei Zhu F. I. C. L. Philip Chen FedML 39 8 0 20 Aug 2023
Approximate and Weighted Data Reconstruction Attack in Federated Learning Yongcun Song Ziqi Wang Enrique Zuazua AAML FedML 22 4 0 13 Aug 2023
Feature Matching Data Synthesis for Non-IID Federated Learning Zijian Li Yuchang Sun Jiawei Shao Yuyi Mao Jessie Hui Wang Jun Zhang 26 20 0 09 Aug 2023
Private Federated Learning with Dynamic Power Control via Non-Coherent Over-the-Air Computation Anbang Zhang Shuaishuai Guo Shuai Liu 19 2 0 05 Aug 2023
Dynamic Privacy Allocation for Locally Differentially Private Federated Learning with Composite Objectives Jiaojiao Zhang Dominik Fay M. Johansson FedML 24 4 0 02 Aug 2023
Revolutionizing Wireless Networks with Federated Learning: A Comprehensive Review Sajjad Emdadi Mahdimahalleh AI4CE 30 0 0 01 Aug 2023
Compressed Private Aggregation for Scalable and Robust Federated Learning over Massive Networks Natalie Lang Nir Shlezinger Rafael G. L. DÓliveira S. E. Rouayheb FedML 70 4 0 01 Aug 2023
Efficient Federated Learning via Local Adaptive Amended Optimizer with Linear Speedup Yan Sun Li Shen Hao Sun Liang Ding Dacheng Tao FedML 19 16 0 30 Jul 2023
Low-Parameter Federated Learning with Large Language Models Jing Jiang Xiangyang Liu Chenyou Fan 21 24 0 26 Jul 2023
Verifiable Sustainability in Data Centers Syed Rafiul Hussain Patrick D. McDaniel Anshul Gandhi K. Ghose Kartik Gopalan Dongyoon Lee Yu Liu Zhen Liu Shuai Mu E. Zadok 29 1 0 22 Jul 2023
Communication-Efficient Split Learning via Adaptive Feature-Wise Compression Yong-Nam Oh Jaeho Lee Christopher G. Brinton Yo-Seb Jeon MQ 33 7 0 20 Jul 2023
A Survey of What to Share in Federated Learning: Perspectives on Model Utility, Privacy Leakage, and Communication Efficiency Jiawei Shao Zijian Li Wenqiang Sun Tailin Zhou Yuchang Sun Lumin Liu Zehong Lin Yuyi Mao Jun Zhang FedML 43 23 0 20 Jul 2023
Heterogeneous Federated Learning: State-of-the-art and Research Challenges Mang Ye Xiuwen Fang Bo Du PongChi Yuen Dacheng Tao FedML AAML 39 244 0 20 Jul 2023
Accelerating Distributed ML Training via Selective Synchronization S. Tyagi Martin Swany FedML 29 3 0 16 Jul 2023
Privacy-Preserving Graph Machine Learning from Data to Computation: A Survey Dongqi Fu Wenxuan Bao Ross Maciejewski Hanghang Tong Jingrui He 33 9 0 10 Jul 2023
Privacy-Preserving Federated Heavy Hitter Analytics for Non-IID Data Jiaqi Shao Shanshan Han Chaoyang He B. Luo FedML 28 1 0 05 Jul 2023
Cooperative Hardware-Prompt Learning for Snapshot Compressive Imaging Jiamian Wang Zong-Jhe Wu Yulun Zhang Xin Yuan Tao R. Lin Zhiqiang Tao FedML 51 3 0 01 Jun 2023
Lightweight Learner for Shared Knowledge Lifelong Learning Yunhao Ge Yuecheng Li Di Wu Ao Xu Adam M. Jones ... Gozde Sahin Shuo Ni Kiran Lekkala S. Sontakke Laurent Itti CLL 19 10 0 24 May 2023
Error Feedback Shines when Features are Rare Peter Richtárik Elnur Gasanov Konstantin Burlachenko 23 2 0 24 May 2023
Dynamic Regularized Sharpness Aware Minimization in Federated Learning: Approaching Global Consistency and Smooth Landscape Yan Sun Li Shen Shi-Yong Chen Liang Ding Dacheng Tao FedML 34 33 0 19 May 2023
Q-SHED: Distributed Optimization at the Edge via Hessian Eigenvectors Quantization Nicolò Dal Fabbro M. Rossi Luca Schenato S. Dey 16 0 0 18 May 2023
DualFL: A Duality-based Federated Learning Algorithm with Communication Acceleration in the General Convex Regime Jongho Park Jinchao Xu FedML 49 1 0 17 May 2023
Federated Learning over Harmonized Data Silos Dimitris Stripelis J. Ambite FedML 15 2 0 15 May 2023
Network-GIANT: Fully distributed Newton-type optimization via harmonic Hessian consensus A. Maritan Ganesh Sharma Luca Schenato S. Dey 20 2 0 13 May 2023
Patchwork Learning: A Paradigm Towards Integrative Analysis across Diverse Biomedical Data Sources Suraj Rajendran Weishen Pan M. Sabuncu Yong Chen Jiayu Zhou Fei Wang 54 14 0 10 May 2023
Towards the Flatter Landscape and Better Generalization in Federated Learning under Client-level Differential Privacy Yi Shi Kang Wei Li Shen Yingqi Liu Xueqian Wang Bo Yuan Dacheng Tao FedML 28 2 0 01 May 2023
FCA: Taming Long-tailed Federated Medical Image Classification by Classifier Anchoring Jeffry Wicaksana Zengqiang Yan Kwang-Ting Cheng FedML 35 5 0 01 May 2023
Blockchain-based Federated Learning with Secure Aggregation in Trusted Execution Environment for Internet-of-Things Aditya Pribadi Kalapaaking Ibrahim Khalil Mohammad Saidur Rahman Mohammed Atiquzzaman X. Yi Mahathir Almashor FedML 21 65 0 25 Apr 2023
SQLi Detection with ML: A data-source perspective Balázs Pejó Nikolett Kapui 8 1 0 24 Apr 2023
Implementing Responsible AI: Tensions and Trade-Offs Between Ethics Aspects Conrad Sanderson David M. Douglas Qinghua Lu 37 11 0 17 Apr 2023
Fed-MIWAE: Federated Imputation of Incomplete Data via Deep Generative Models Irene Balelli Aude Sportisse Francesco Cremonesi Pierre-Alexandre Mattei Marco Lorenzi 32 3 0 17 Apr 2023
Federated and distributed learning applications for electronic health records and structured medical data: A scoping review Siqi Li Pinyan Liu G. G. Nascimento Xinru Wang F. Leite ... Daniel Ting Hamed Haddadi M. Ong M. A. Peres Nan Liu 17 11 0 14 Apr 2023
Edge-cloud Collaborative Learning with Federated and Centralized Features Zexi Li Qunwei Li Yi Zhou Wenliang Zhong Guannan Zhang Chao-Xiang Wu FedML 31 10 0 12 Apr 2023
HPN: Personalized Federated Hyperparameter Optimization Anda Cheng Zhen Wang Yaliang Li Jianwei Cheng 22 1 0 11 Apr 2023
On the Local Cache Update Rules in Streaming Federated Learning Heqiang Wang Jieming Bian Jie Xu 24 4 0 28 Mar 2023
FedAgg: Adaptive Federated Learning with Aggregated Gradients Wenhao Yuan Xuehe Wang FedML 48 0 0 28 Mar 2023
A Survey on Secure and Private Federated Learning Using Blockchain: Theory and Application in Resource-constrained Computing Ervin Moore Ahmed Imteaj S. Rezapour M. Amini 33 18 0 24 Mar 2023
FS-Real: Towards Real-World Cross-Device Federated Learning Daoyuan Chen Dawei Gao Yuexiang Xie Xuchen Pan Zitao Li Yaliang Li Bolin Ding Jingren Zhou 114 26 0 23 Mar 2023
A Privacy-Preserving Energy Theft Detection Model for Effective Demand-Response Management in Smart Grids Arwa Alromih John A. Clark P. Gope 29 3 0 23 Mar 2023
A Survey on Class Imbalance in Federated Learning Jing Zhang Chuanwen Li Jianzgong Qi Jiayuan He FedML 44 13 0 21 Mar 2023
On the Fusion Strategies for Federated Decision Making Mert Kayaalp Yunus Inan V. Koivunen E. Telatar A. H. Sayed FedML 21 4 0 10 Mar 2023
Distributed Learning Meets 6G: A Communication and Computing Perspective Shashank Jere Yifei Song Y. Yi Lingjia Liu 18 10 0 02 Mar 2023
Subspace based Federated Unlearning Guang-Ming Li Li Shen Yan Sun Yuejun Hu Han Hu Dacheng Tao MU FedML 23 20 0 24 Feb 2023
Data-Free Diversity-Based Ensemble Selection For One-Shot Federated Learning in Machine Learning Model Market Naibo Wang Wen-Yu Feng Fusheng Liu Moming Duan See-Kiong Ng FedML 23 6 0 23 Feb 2023
CADIS: Handling Cluster-skewed Non-IID Data in Federated Learning with Clustered Aggregation and Knowledge DIStilled Regularization Nang Hung Nguyen Duc Long Nguyen Trong Bang Nguyen T. Nguyen H. Pham Truong Thao Nguyen Phi Le Nguyen FedML 26 8 0 21 Feb 2023
Federated Gradient Matching Pursuit Halyun Jeong Deanna Needell Jing Qin FedML 37 1 0 20 Feb 2023
ByzSecAgg: A Byzantine-Resistant Secure Aggregation Scheme for Federated Learning Based on Coded Computing and Vector Commitment Tayyebeh Jahani-Nezhad M. Maddah-ali Giuseppe Caire FedML 27 2 0 20 Feb 2023
Personalized and privacy-preserving federated heterogeneous medical image analysis with PPPML-HMI Juexiao Zhou Longxi Zhou Di Wang Xiaopeng Xu Haoyang Li Yuetan Chu Wenkai Han Xin Gao 17 20 0 20 Feb 2023
Towards Zero-trust Security for the Metaverse Ruizhi Cheng Songqing Chen Bo Han 21 28 0 17 Feb 2023
Similarity, Compression and Local Steps: Three Pillars of Efficient Communications for Distributed Variational Inequalities Aleksandr Beznosikov Martin Takáč Alexander Gasnikov 29 10 0 15 Feb 2023