Sökresultat - "Federated Learning"

An adaptive federated learning system for information sharing in supply chains.

Zheng, Ge¹ (AUTHOR), Ivanov, Dmitry² (AUTHOR), Brintrup, Alexandra^1,3 (AUTHOR) ab702@cam.ac.uk

Federated learning meets Bayesian neural network: Robust and uncertainty-aware distributed variational inference.

Li P; College of Intelligence and Computing, Tianjin University, Tianjin, 300350, China; School of Intelligence Science and Engineering, Qinghai Minzu University, Xining, 810007, China. Electronic address: lipengfei@qhmu.edu.cn., Hu Q; College of Intelligence and Computing, Tianjin University, Tianjin, 300350, China. Electronic address: huqinghua@tju.edu.cn., Wang X; College of Intelligence and Computing, Tianjin University, Tianjin, 300350, China. Electronic address: xiaofeiwang@tju.edu.cn.

Journal Article , 2025

Privacy-preserving federated learning for collaborative medical data mining in multi-institutional settings.

Haripriya R; Department of Computer Science and Engineering, Maulana Azad National Institute of Technology, Bhopal, 462003, India. rahulharipriyamanit@gmail.com., Khare N; Department of Computer Science and Engineering, Maulana Azad National Institute of Technology, Bhopal, 462003, India., Pandey M; Department of Computer Science and Engineering, Maulana Azad National Institute of Technology, Bhopal, 462003, India.

Journal Article , 2025

DFedGFM: Pursuing global consistency for Decentralized Federated Learning via global flatness and global momentum.

Li Q; National University of Defense Technology, No. 109 Deya Road, Chang Sha, 410073, Hu Nan, China., Zhang M; National University of Defense Technology, No. 109 Deya Road, Chang Sha, 410073, Hu Nan, China., Sun T; National University of Defense Technology, No. 109 Deya Road, Chang Sha, 410073, Hu Nan, China., Yin Q; National University of Defense Technology, No. 109 Deya Road, Chang Sha, 410073, Hu Nan, China. Electronic address: yin_quanjun@163.com., Shen L; The School of Cyber Science and Technology, Shenzhen Campus of Sun Yat-sen University, Shenzhen, 518107, China. Electronic address: mathshenli@gmail.com.

Journal Article , 2025

Development of time to event prediction models using federated learning.

Kragh Jørgensen RR; Department of Hematology, Clinical Cancer Research Center, Aalborg University Hospital, Aalborg, Denmark. Rasmus.rask@rn.dk.; Center for Clinical Data Science, Aalborg University and Aalborg University Hospital, Aalborg, Denmark. Rasmus.rask@rn.dk.; Department of Clinical Medicine, Aalborg University, Aalborg, Denmark. Rasmus.rask@rn.dk., Jensen JF; Department of Hematology, Clinical Cancer Research Center, Aalborg University Hospital, Aalborg, Denmark., El-Galaly T; Department of Hematology, Clinical Cancer Research Center, Aalborg University Hospital, Aalborg, Denmark.; Department of Clinical Medicine, Aalborg University, Aalborg, Denmark.; Department of Medicine Solna, Clinical Epidemiology Division, Karolinska Institutet, Stockholm, Sweden.; Department of Hematology, Odense University Hospital, Odense, Denmark., Bøgsted M; Center for Clinical Data Science, Aalborg University and Aalborg University Hospital, Aalborg, Denmark.; Clinical Cancer Research Centre, Aalborg University Hospital, Aalborg, Denmark., Brøndum RF; Center for Clinical Data Science, Aalborg University and Aalborg University Hospital, Aalborg, Denmark.; Clinical Cancer Research Centre, Aalborg University Hospital, Aalborg, Denmark., Simonsen MR; Department of Hematology, Clinical Cancer Research Center, Aalborg University Hospital, Aalborg, Denmark.; Department of Mathematical Sciences, Aalborg University, Aalborg, Denmark., Jakobsen LH; Department of Hematology, Clinical Cancer Research Center, Aalborg University Hospital, Aalborg, Denmark.

Journal Article , 2025

Communication Efficient Federated Learning for Multi-Organ Segmentation via Knowledge Distillation With Image Synthesis.

Kim S, Park H, Chikontwe P, Kang M, Hwan Jin K, Adeli E, Pohl KM, Hyun Park S

Journal Article , 2025

Belt and Braces: When Federated Learning Meets Differential Privacy.

Ren, Xuebin¹ (AUTHOR) xuebinren@mail.xjtu.edu.cn, Yang, Shusen¹ (AUTHOR) shusenyang@mail.xjtu.edu.cn, Zhao, Cong² (AUTHOR) c.zhao@imperial.ac.uk, McCann, Julie² (AUTHOR) j.mccann@imperial.ac.uk, Xu, Zongben¹ (AUTHOR) zbxu@mail.xjtu.edu.cn

Communication-Efficient Hybrid Federated Learning for E-Health With Horizontal and Vertical Data Partitioning.

Yu C, Shen S, Wang S, Zhang K, Zhao H

Journal Article , 2025

Federated learning based reference evapotranspiration estimation for distributed crop fields.

Tausif M; Department of Computer Science & Information Technology, The Superior University, Lahore, Punjab, Pakistan., Iqbal MW; Department of Computer Science & Information Technology, The Superior University, Lahore, Punjab, Pakistan., Bashir RN; Department of Computer Science, COMSATS University Vehari, Vehari, Punjab, Pakistan.; Artificial Intelligence & Data Analytics (AIDA) Lab, College of Computer & Information Sciences (CCIS), Prince Sultan University, Riyadh, Saudi Arabia., AlGhofaily B; Artificial Intelligence & Data Analytics (AIDA) Lab, College of Computer & Information Sciences (CCIS), Prince Sultan University, Riyadh, Saudi Arabia., Elyassih A; Artificial Intelligence & Data Analytics (AIDA) Lab, College of Computer & Information Sciences (CCIS), Prince Sultan University, Riyadh, Saudi Arabia., Khan AR; Artificial Intelligence & Data Analytics (AIDA) Lab, College of Computer & Information Sciences (CCIS), Prince Sultan University, Riyadh, Saudi Arabia.

Journal Article , 2025

A federated data fusion-based prognostic model for applications with multi-stream incomplete signals.

Arabi, Madi¹ (AUTHOR), Fang, Xiaolei¹ (AUTHOR) xfang8@ncsu.edu

Closed-loop supply chain decision considering information reliability and security: should the supply chain adopt federated learning decision support systems?

Wan, Xiaole^1,2 (AUTHOR) wanxiaole@ouc.edu.cn, Yang, Dongqian¹ (AUTHOR) y956138609@hotmail.com, Wang, Tongtong¹ (AUTHOR) ttwang2022@163.com, Deveci, Muhammet^3,4 (AUTHOR) muhammetdeveci@gmail.com

HFML: heterogeneous hierarchical federated mutual learning on non-IID data.

Li, Yang¹ (AUTHOR) liyangsmu@126.com, Li, Jie¹ (AUTHOR) lijie0610@bit.edu.cn, Li, Kan¹ (AUTHOR) likan@bit.edu.cn

Current AI technologies in cancer diagnostics and treatment.

Tiwari, Ashutosh^1,2 (AUTHOR), Mishra, Soumya³ (AUTHOR), Kuo, Tsung-Rong^1,4,5 (AUTHOR) trkuo@tmu.edu.tw

Intelligent Edges: Mapping the Future Convergence of Edge Computing and Big Data Analytics.

Elmobark, N.¹ eng_nagwaelmobark@yahoo.com

Research on insider threat detection based on personalized federated learning and behavior log analysis.

Ye, Xiaoyun¹ (AUTHOR) yexiaoyun@qut.edu.cn, Luo, Faqin¹ (AUTHOR), Cui, Huangrongbin¹ (AUTHOR), Wang, Jinlong¹ (AUTHOR), Xiong, Xiaoyun¹ (AUTHOR), Zhang, Wencui² (AUTHOR), Yu, Jiawei¹ (AUTHOR), Zhao, Wenhao¹ (AUTHOR)

Data-oriented optimized nonuniform quantization for CR-enhanced communication efficiency in federated learning.

Luo, Shuai¹ (AUTHOR) shuailuo123@hotmail.com, Wan, Qiming² (AUTHOR) wanqiming.eecs@hotmail.com, Wang, Hongrui² (AUTHOR) wanghongrui2024@hotmail.com, Xiang, Tianchun¹ (AUTHOR) xiangtianchun@hotmail.com, Wang, Yang¹ (AUTHOR) wangyang2024@hotmail.com, He, Xin² (AUTHOR) xinhe.ccer@hotmail.com, Zhang, Wei¹ (AUTHOR) zhangwei.eecs@hotmail.com

Federated stochastic gradient averaging ring homomorphism based learning for secure data aggregation in WSN.

Pichumani, Saravanakumar¹ (AUTHOR) apsaravanakumarr@gmail.com, Sundararajan, T. V. P.² (AUTHOR) sundararajantvp@siet.ac.in, Ramesh, S. M.³ (AUTHOR) ramesh.sm@kpriet.ac.in

FedCVG: a two-stage robust federated learning optimization algorithm.

Zhang, Runze¹ (AUTHOR), Zhang, Yang¹ (AUTHOR), Zhao, Yating¹ (AUTHOR) zhaoyating01@163.com, Jia, Bin¹ (AUTHOR), Lian, Wenjuan¹ (AUTHOR)

Robust two stages federated learning for sensor based human activity recognition with label noise.

Sun, Haifeng¹ (AUTHOR), Yao, Junping¹ (AUTHOR), Li, Xiaojun¹ (AUTHOR) xi_anlxj@126.com, Liu, Yanfei¹ (AUTHOR), Gu, Hongyang¹ (AUTHOR)

Quantization-based chained privacy-preserving federated learning.

Liu, Ya^1,2 (AUTHOR) liuya@usst.edu.cn, Wu, Shumin¹ (AUTHOR), Li, Yibo¹ (AUTHOR), Zhao, Fengyu³ (AUTHOR), Ren, Yanli⁴ (AUTHOR)