Federated Learning: Opportunities and Challenges

14 January 2021

Papers citing "Federated Learning: Opportunities and Challenges"

21 / 21 papers shown

Title
Joint Graph Estimation and Signal Restoration for Robust Federated Learning Tsutahiro Fukuhara Junya Hara Hiroshi Higashi Yuichi Tanaka FedML 4 0 0 16 May 2025
FW-Merging: Scaling Model Merging with Frank-Wolfe Optimization Hao Mark Chen S. Hu Wayne Luk Timothy M. Hospedales Hongxiang Fan MoMe 77 0 0 16 Mar 2025
A new framework for prognostics in decentralized industries: Enhancing fairness, security, and transparency through Blockchain and Federated Learning T.Q.D. Pham K.D. Tran Khanh T. P. Nguyen X.V. Tran K.P. Tran K.P. Tran AI4CE 46 0 0 17 Feb 2025
BlindFL: Segmented Federated Learning with Fully Homomorphic Encryption Evan Gronberg L. dÁliberti Magnus Saebo Aurora Hook FedML 56 0 0 20 Jan 2025
The Effect of Personalization in FedProx: A Fine-grained Analysis on Statistical Accuracy and Communication Efficiency Xin Yu Zelin He Ying Sun Lingzhou Xue Runze Li FedML 38 0 0 11 Oct 2024
Constructing Adversarial Examples for Vertical Federated Learning: Optimal Client Corruption through Multi-Armed Bandit Duanyi Yao Songze Li Ye Xue Jin Liu FedML AAML 34 1 0 08 Aug 2024
Federated and Transfer Learning for Cancer Detection Based on Image Analysis Amine Bechar Y. Elmir Yassine Himeur Rafik Medjoudj Abbes Amira MedIm 48 4 0 30 May 2024
FCNCP: A Coupled Nonnegative CANDECOMP/PARAFAC Decomposition Based on Federated Learning Yukai Cai Hang Liu Xiulin Wang Hongjin Li Ziyi Wang Chuanshuai Yang Fengyu Cong FedML 26 0 0 18 Apr 2024
I/O in Machine Learning Applications on HPC Systems: A 360-degree Survey Noah Lewis J. L. Bez Suren Byna 59 0 0 16 Apr 2024
On the Efficiency of Privacy Attacks in Federated Learning Nawrin Tabassum Ka-Ho Chow Xuyu Wang Wenbin Zhang Yanzhao Wu FedML 39 1 0 15 Apr 2024
A review on different techniques used to combat the non-IID and heterogeneous nature of data in FL Iyer Venkataraman Natarajan 30 8 0 01 Jan 2024
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 30 20 0 20 Feb 2023
Deep learning approach for interruption attacks detection in LEO satellite networks Nacereddine Sitouah Fatiha Merazka Abdenour Hedjazi 18 2 0 10 Dec 2022
TorchFL: A Performant Library for Bootstrapping Federated Learning Experiments Vivek Khimani S. Jabbari FedML AI4CE 21 0 0 01 Nov 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 40 38 0 17 Oct 2022
Using Anomaly Detection to Detect Poisoning Attacks in Federated Learning Applications Ali Raza Shujun Li K. Tran L. Koehl Kim Duc Tran AAML 35 3 0 18 Jul 2022
Tighter Regret Analysis and Optimization of Online Federated Learning Dohyeok Kwon Jonghwan Park Songnam Hong 30 11 0 13 May 2022
Multi-Task Distributed Learning using Vision Transformer with Random Patch Permutation Sangjoon Park Jong Chul Ye FedML MedIm 44 19 0 07 Apr 2022
Securing Federated Sensitive Topic Classification against Poisoning Attacks Tianyue Chu Álvaro García-Recuero Costas Iordanou Georgios Smaragdakis Nikolaos Laoutaris 51 9 0 31 Jan 2022
On-Demand Unlabeled Personalized Federated Learning Ohad Amosy G. Eyal Gal Chechik FedML 43 2 0 16 Nov 2021
Federated Learning for Big Data: A Survey on Opportunities, Applications, and Future Directions Thippa Reddy Gadekallu Viet Quoc Pham Thien Huynh-The S. Bhattacharya Praveen Kumar Reddy Maddikunta Madhusanka Liyanage FedML AI4CE 52 39 0 08 Oct 2021