Sökresultat - "Federated Learning"

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

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

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

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

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

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

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

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

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

Elmobark, N.¹ eng_nagwaelmobark@yahoo.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)

Developing a Novel Adaptive Double Deep Q-Learning-Based Routing Strategy for IoT-Based Wireless Sensor Network with Federated Learning.

Manogaran, Nalini¹ (AUTHOR), Raphael, Mercy Theresa Michael² (AUTHOR), Raja, Rajalakshmi³ (AUTHOR), Jayakumar, Aarav Kannan⁴ (AUTHOR), Nandagopal, Malarvizhi⁵ (AUTHOR), Balusamy, Balamurugan⁶ (AUTHOR), Ghinea, George⁷ (AUTHOR) george.ghinea@brunel.ac.uk

Introducing a Quality-Driven Approach for Federated Learning.

Usman, Muhammad¹ (AUTHOR) m.usman1@studenti.unisannio.it, Bernardi, Mario Luca^1,2 (AUTHOR), Cimitile, Marta^1,2 (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)

Enhancing dynamic resource management in decentralized federated learning for collaborative edge Internet of Things.

Aldrees, Asma¹ (AUTHOR) edrees@kku.edu.sa, Dutta, Ashit Kumar² (AUTHOR) adotta@um.edu.sa, Emara, Ahmed^3,4 (AUTHOR) a.emara@ubt.edu.sa, Shahab, Sana⁵ (AUTHOR) sshahab@pnu.edu.sa, Shaikh, Zaffar Ahmed^6,7 (AUTHOR) zashaikh@bbsul.edu.pk, Daradkeh, Yousef Ibrahim⁸ (AUTHOR) y.daradkeh@psau.edu.sa, Anjum, Mohd⁹ (AUTHOR) mohdanjum@zhcet.ac.in

A Novel Algorithm for Personalized Federated Learning: Knowledge Distillation with Weighted Combination Loss.

Hu, Hengrui¹ (AUTHOR), Kothari, Anai N.² (AUTHOR), Banerjee, Anjishnu¹ (AUTHOR) abanerjee@mcw.edu

AI-Driven Optimization of Blockchain Scalability, Security, and Privacy Protection.

Yuan, Fujiang¹ (AUTHOR), Zuo, Zihao^1,2 (AUTHOR), Jiang, Yang^1,3 (AUTHOR), Shu, Wenzhou^2,4 (AUTHOR), Tian, Zhen^3,5 (AUTHOR), Ye, Chenxi^4,6 (AUTHOR), Yang, Junye¹ (AUTHOR), Mao, Zebing^2,5 (AUTHOR), Huang, Xia^1,3 (AUTHOR), Gu, Shaojie^4,6 (AUTHOR), Peng, Yanhong^1,5 (AUTHOR) yhpeng@nagoya-u.jp