Federated Learning: Challenges, Methods, and Future Directions

21 August 2019

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

50 / 591 papers shown

Title
Federated Learning for Healthcare Domain - Pipeline, Applications and Challenges Madhura Joshi Ankit Pal Malaikannan Sankarasubbu OOD AI4CE FedML 25 93 0 15 Nov 2022
Clustered Federated Learning based on Nonconvex Pairwise Fusion Xue Yu Ziyi Liu Wu Wang Yifan Sun FedML 34 7 0 08 Nov 2022
Resilience of Wireless Ad Hoc Federated Learning against Model Poisoning Attacks Naoya Tezuka H. Ochiai Yuwei Sun Hiroshi Esaki AAML 34 4 0 07 Nov 2022
Client Selection in Federated Learning: Principles, Challenges, and Opportunities Lei Fu Huan Zhang Ge Gao Mi Zhang Xin Liu FedML 37 115 0 03 Nov 2022
Wind Power Forecasting Considering Data Privacy Protection: A Federated Deep Reinforcement Learning Approach Yang Li Ruinong Wang Yuanzheng Li Meng Zhang Chao Long 21 176 0 02 Nov 2022
Blind Asynchronous Over-the-Air Federated Edge Learning Saeed Razavikia Jaume Anguera Peris J. M. B. D. Silva Carlo Fischione FedML 24 11 0 31 Oct 2022
Fast-Convergent Federated Learning via Cyclic Aggregation Youngjoon Lee Sangwoo Park Joonhyuk Kang FedML 30 5 0 29 Oct 2022
Security-Preserving Federated Learning via Byzantine-Sensitive Triplet Distance Youngjoon Lee Sangwoo Park Joonhyuk Kang FedML 38 7 0 29 Oct 2022
Federated Learning based Energy Demand Prediction with Clustered Aggregation Ye Lin Tun K. Thar Chu Myaet Thwal Choong Seon Hong 13 57 0 28 Oct 2022
Federated Learning with Intermediate Representation Regularization Ye Lin Tun Chu Myaet Thwal Yu Min Park Seong-Bae Park Choong Seon Hong FedML 26 6 0 28 Oct 2022
Secure Distributed Optimization Under Gradient Attacks Shuhua Yu S. Kar 32 13 0 28 Oct 2022
Coresets for Vertical Federated Learning: Regularized Linear Regression and $K$ -Means Clustering Lingxiao Huang Zhize Li Jialin Sun Haoyu Zhao FedML 44 9 0 26 Oct 2022
Designing Universal Causal Deep Learning Models: The Case of Infinite-Dimensional Dynamical Systems from Stochastic Analysis Luca Galimberti Anastasis Kratsios Giulia Livieri OOD 28 14 0 24 Oct 2022
An Improved Algorithm for Clustered Federated Learning Harsh Vardhan A. Ghosh A. Mazumdar FedML 34 8 0 20 Oct 2022
Emerging Threats in Deep Learning-Based Autonomous Driving: A Comprehensive Survey Huiyun Cao Wenlong Zou Yinkun Wang Ting Song Mengjun Liu AAML 54 4 0 19 Oct 2022
Industry-Scale Orchestrated Federated Learning for Drug Discovery M. Oldenhof G. Ács Balázs Pejó A. Schuffenhauer Nicholas Holway ... Yves Moreau O. Engkvist Hugo Ceulemans Camille Marini M. Galtier FedML 38 38 0 17 Oct 2022
Sketching for First Order Method: Efficient Algorithm for Low-Bandwidth Channel and Vulnerability Zhao-quan Song Yitan Wang Zheng Yu Licheng Zhang FedML 23 28 0 15 Oct 2022
FedFM: Anchor-based Feature Matching for Data Heterogeneity in Federated Learning Rui Ye Zhenyang Ni Chenxin Xu Jianyu Wang Siheng Chen Yonina C. Eldar FedML 27 31 0 14 Oct 2022
A Survey on UAV-enabled Edge Computing: Resource Management Perspective Xiaoyu Xia Sheik Mohammad Mostakim Fattah M. Babar 24 13 0 13 Oct 2022
FLamby: Datasets and Benchmarks for Cross-Silo Federated Learning in Realistic Healthcare Settings Jean Ogier du Terrail Samy Ayed Edwige Cyffers Felix Grimberg Chaoyang He ... Sai Praneeth Karimireddy Marco Lorenzi Giovanni Neglia Marc Tommasi M. Andreux FedML 41 142 0 10 Oct 2022
Learning Across Domains and Devices: Style-Driven Source-Free Domain Adaptation in Clustered Federated Learning Donald Shenaj Eros Fani Marco Toldo Debora Caldarola A. Tavera Umberto Michieli Marco Ciccone Pietro Zanuttigh Barbara Caputo FedML 26 39 0 05 Oct 2022
ISFL: Federated Learning for Non-i.i.d. Data with Local Importance Sampling Zheqi Zhu Yuchen Shi Pingyi Fan Chenghui Peng Khaled B. Letaief FedML 25 8 0 05 Oct 2022
Federated Graph-based Networks with Shared Embedding Tianyi Yu Pei-Ci Lai Fei Teng FedML 31 3 0 03 Oct 2022
FedStack: Personalized activity monitoring using stacked federated learning T. Shaik Xiaohui Tao Niall Higgins R. Gururajan Yuefeng Li Xujuan Zhou Usha R. Acharya FedML 32 61 0 27 Sep 2022
On the Stability Analysis of Open Federated Learning Systems Youbang Sun H. Fernando Tianyi Chen Shahin Shahrampour FedML 29 1 0 25 Sep 2022
Heterogeneous Federated Learning on a Graph Huiyuan Wang Xuyang Zhao Weijie Lin FedML 54 4 0 19 Sep 2022
Quantization for decentralized learning under subspace constraints Roula Nassif Stefan Vlaski Marco Carpentiero Vincenzo Matta Marc Antonini Ali H. Sayed 30 29 0 16 Sep 2022
Federated Learning based on Defending Against Data Poisoning Attacks in IoT Jiayin Li Wenzhong Guo Xingshuo Han Jianping Cai Ximeng Liu AAML 83 1 0 14 Sep 2022
Cocktail Party Attack: Breaking Aggregation-Based Privacy in Federated Learning using Independent Component Analysis Sanjay Kariyappa Chuan Guo Kiwan Maeng Wenjie Xiong G. E. Suh Moinuddin K. Qureshi Hsien-Hsin S. Lee FedML 21 29 0 12 Sep 2022
Exploring privacy-enhancing technologies in the automotive value chain Gonzalo Munilla Garrido Kaja Schmidt Christopher Harth-Kitzerow Johannes Klepsch André Luckow Florian Matthes 16 7 0 12 Sep 2022
Private Read Update Write (PRUW) in Federated Submodel Learning (FSL): Communication Efficient Schemes With and Without Sparsification Sajani Vithana S. Ulukus FedML 20 19 0 09 Sep 2022
FedDAR: Federated Domain-Aware Representation Learning Aoxiao Zhong Hao He Zhaolin Ren Na Li Quanzheng Li OOD AI4CE 29 9 0 08 Sep 2022
CPS Attack Detection under Limited Local Information in Cyber Security: A Multi-node Multi-class Classification Ensemble Approach Jun-Ying Liu Yifu Tang Haimeng Zhao X. Wang Fangyu Li Jingyi Zhang 26 5 0 01 Sep 2022
Reducing Impacts of System Heterogeneity in Federated Learning using Weight Update Magnitudes Irene Wang 32 1 0 30 Aug 2022
A Comprehensive Review of Digital Twin -- Part 1: Modeling and Twinning Enabling Technologies Adam Thelen Xiaoge Zhang Olga Fink Yan Lu Sayan Ghosh B. Youn Michael D. Todd S. Mahadevan Chao Hu Zhen Hu SyDa AI4CE 27 187 0 26 Aug 2022
On Differential Privacy for Federated Learning in Wireless Systems with Multiple Base Stations Nima Tavangaran Mingzhe Chen Zhaohui Yang J. M. B. D. Silva H. Vincent Poor FedML 28 4 0 25 Aug 2022
Towards Sparsified Federated Neuroimaging Models via Weight Pruning Dimitris Stripelis Umang Gupta Nikhil J. Dhinagar Greg Ver Steeg Paul M. Thompson J. Ambite FedML 24 0 0 24 Aug 2022
Joint Privacy Enhancement and Quantization in Federated Learning Natalie Lang Elad Sofer Tomer Shaked Nir Shlezinger FedML 37 46 0 23 Aug 2022
FedMCSA: Personalized Federated Learning via Model Components Self-Attention Qianling Guo Yong Qi Saiyu Qi Di Wu Qian Li FedML 21 9 0 23 Aug 2022
A Review of Federated Learning in Energy Systems Xu Cheng Chendan Li Xiufeng Liu 26 27 0 20 Aug 2022
NET-FLEET: Achieving Linear Convergence Speedup for Fully Decentralized Federated Learning with Heterogeneous Data Xin Zhang Minghong Fang Zhuqing Liu Haibo Yang Jia-Wei Liu Zhengyuan Zhu FedML 22 14 0 17 Aug 2022
On the Convergence of Multi-Server Federated Learning with Overlapping Area Zhe Qu Xingyu Li Jie Xu Bo Tang Zhuo Lu Yao-Hong Liu FedML 50 14 0 16 Aug 2022
HetVis: A Visual Analysis Approach for Identifying Data Heterogeneity in Horizontal Federated Learning Xumeng Wang Wei Chen Jiazhi Xia Zhen Wen Rongchen Zhu Tobias Schreck FedML 26 20 0 16 Aug 2022
Trustworthy Federated Learning via Blockchain Zhanpeng Yang Yuanming Shi Yong Zhou Zixin Wang Kai Yang 34 68 0 13 Aug 2022
Scalable and Sparsity-Aware Privacy-Preserving K-means Clustering with Application to Fraud Detection Yingting Liu Chaochao Chen Jamie Cui L. xilinx Wang Lei Wang 20 0 0 12 Aug 2022
Federated Learning for Medical Applications: A Taxonomy, Current Trends, Challenges, and Future Research Directions A. Rauniyar D. Hagos Debesh Jha J. E. Haakegaard Ulas Bagci D. Rawat Vladimir Vlassov OOD 43 90 0 05 Aug 2022
Embedding Alignment for Unsupervised Federated Learning via Smart Data Exchange Satyavrat Wagle Seyyedali Hosseinalipour Naji Khosravan M. Chiang Christopher G. Brinton FedML 35 5 0 04 Aug 2022
FedDRL: Deep Reinforcement Learning-based Adaptive Aggregation for Non-IID Data in Federated Learning Nang Hung Nguyen Phi Le Nguyen D. Nguyen Trung Thanh Nguyen Thuy-Dung Nguyen H. Pham Truong Thao Nguyen FedML 64 24 0 04 Aug 2022
AI Augmented Edge and Fog Computing: Trends and Challenges Shreshth Tuli Fatemeh Mirhakimi Samodha Pallewatta Syed Zawad G. Casale B. Javadi Feng Yan Rajkumar Buyya N. Jennings 21 56 0 01 Aug 2022
Towards Communication-efficient Vertical Federated Learning Training via Cache-enabled Local Updates Fangcheng Fu Xupeng Miao Jiawei Jiang Huanran Xue Tengjiao Wang FedML 32 21 0 29 Jul 2022