Topology-aware Federated Learning in Edge Computing: A Comprehensive Survey

Wu, Jiajun, Dong, Fan, Leung, Henry, Zhu, Zhuangdi, Zhou, Jiayu, Drew, Steve·2024·ACM Computing Surveys

Cited by (130)

Items 101–130 of 130

  1. Edge Computing and Federated Learning as Enabling Technologies for Industry 5.0: A Literature Review with an Industrial Focus
    Johanna Moreno-Castellanos, Juan M. Núñez Velasco, Fernando De la Prieta · 2026 · Lecture notes in networks and systems
  2. Prototype Augmentation-based Edge-end Heterogeneous Collaborative Learning
    Enze Yu, Penghuan Cheng, Haipeng Dai, Haihan Zhang, Sujin Hou, Meng Li, Zhenzhe Zheng, Qiang He, Guihai Chen · 2026 · International World Wide Web Conference (WWW)
  3. Federated learning of Bayesian networks preserving privacy for personalised medical applications
    Sarah Benikhlef · 2025
  4. Next-Gen AI at the Edge: Federated Learning for Scalable and Secure Systems
    Suman Chahar, Konika Rani · 2026 · Studies in computational intelligence
  5. Federated learning with context-aware client collaboration: Challenges, advances, and open problems
    Soroush Ziaeinejad, Saeed Samet · 2026 · Information Fusion
  6. Efficient Federated Learning in IoV: Trajectory-Aware Communication Modeling and Incentive Mechanism
    C Chen, Chenyang Cao, Ji Feng, Bowen Li, Quan Shi · 2026 · IEEE Transactions on Network Science and Engineering
  7. Uma Arquitetura de Co-orquestração SDN e Aprendizado Federado para Seleção Adaptativa de Clientes
    João Victor de Oliveira, Cândido de Queiroga, Fernando Matos · 2026
  8. FedCAD: Cross-modal semantic alignment and distillation for cross-domain heterogeneous federated learning
    Qian Zhang, Huijun Yuan, Mingwen Shao, Hong Liang, Hu Liu, Xinyue Zhang · 2026 · Neural Networks
  9. Towards Federated Learning at the Far Edge: From Static Topologies to Generalized Network Graphs
    Takumi Suimon, Elisa Rojas, Yuki Koizumi, Javier Díaz-Fuentes, David Carrascal, Junji Takemasa · 2026 · IFIP Networking Conference (IFIP Networking)
  10. Edge Computing Coordination for Latency-Aware and Fair Coalition Formation
    Polyzois Soumplis, Aristotelis Kretsis, Panagiotis C. Kokkinos, Emmanouel Varvarigos · 2026 · Joint European Conference on Networks and Communications & 6G Summit (EuCNC/6G Summit)
  11. Distributed Machine Learning on Edge Computing: A Survey of Challenges and Techniques
    Luis Henrique Lopes Teodoro, Daniel Fernando Pigatto, Ana Cristina B. Kochem Vendramin, Juliana de Santi · 2026 · Revista Eletrônica de Iniciação Científica em Computação
  12. GroHFL: A Group Aggregation Method for Hierarchical Federated Learning Based on Data Distribution and Training Efficiency
    Sisi Zhou, Xuanya Wang, Jiahong Xiao, Yuxiang Chen, Kan Yang, Cangming Liang, Wei Liang, Kuan‐Ching Li, Joanna Kołodziej, Tianxiong Liu · 2026 · Lecture notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
  13. Graph Neural Network-Enabled Intelligence for Unmanned Aerial Vehicle Systems: A Comprehensive Review
    Rinkuben Patel, Areej Salaymeh · 2026 · Drones
  14. Roadmap and benchmarking: Privacy in federated load forecasting
    Waqwoya Mesfin Abebe, Abhishek V. Potnis, John Sadik, Jaden Cunningham, Alan Longcoy, Ryan Prout, Aditya Sundararajan, Supriya Chinthavali, Dalton Lunga · 2026 · Future Generation Computer Systems
  15. Mapping the Intellectual Landscape of Personalized Federated Learning: A Bibliometric Analysis
    Fahad Sabah, Yuehua Chen, Z L Yang, Muhammad Azam, Nadeem Ahmad, Raheem Sarwar · 2026 · SN Computer Science
  16. FedCD: A communication-efficient federated learning framework via hierarchical cluster-distillation for heterogeneous edge clients
    Jing Zhang, Zixu AN, Xukai Wang, Junchen Liu · 2026 · Computer Networks
  17. Fed-BAC: Federated Bandit-Guided Additive Clustering in Hierarchical Federated Learning
    Satwat Bashir, T. Dagiuklas, M. Iqbal · 2026 · 2026 2nd International Conference on Federated Learning and Intelligent Computing Systems (FLICS)
  18. Federated Digital Twin-Driven Foundation Models for Energy-Aware Scheduling in Edge Data Centers
    Andy Yuen-Khai Khoo, Yen-Hsun Meng, Cheng-Hou Chou, Chia-Hsuan Wu, Mu-Chun Su, Yi‐Zeng Hsieh · 2026 · IEEE International Conference on Distributed Computing Systems Workshops (ICDCSW)
  19. Resource Scheduling and Optimization Algorithm of Communication Network for Edge Computing
    Yanjun Bi, Zhijiao Qi, Congzhe Su · 2026 · International Conference on Distributed Computing and Electrical Circuits and Electronics (ICDCECE)
  20. Cloud-Based Distributed Deep Learning for Credit Card Fraud Detection: A Scalability and Data Partitioning Analysis
    Alireza Izaddoost, Bhrigu Celly, Amlan Chatterjee · 2026 · Applied Sciences
  21. Adaptive federated data pipeline optimization for low-latency AI inference in distributed edge computing environments
    Sulthan Arif · 2026 · Discover Computing
  22. RiskCal-FL: Certified Risk-Budgeted Participation for Byzantine-Robust Federated Learning
    Youhui Tian, Yuan Tao, Youwen Zhu, Yue Zhang, Yuan Tian · 2026 · SSRN Electronic Journal
  23. Federated AI-Enabled 6G IoT Framework for Real-Time Accident Detection and Emergency Response in Intelligent Transportation Systems (ITS)
    R. Padmavathy, S. Sowmyha · 2026 · Iranian Journal of Science and Technology Transactions of Electrical Engineering
  24. Blockchain-Based Voting and Incentives to Defend Federated Learning Poisoning Attacks
    Wenjuan Meng, Yao Zhou · 2026 · International Conference on Computer Science and Blockchain (CCSB)
  25. EcoTrust-Net: A Causal, Explainable, and Energy-Aware Graph Transformer and Multi-Agent Reinforcement Learning Framework for Intelligent Network Traffic Prediction and Optimization
    IKANI Lucy Hassana, Olumide Owolabi, Okike Benjamin, Abdullahi Fatimah Binta · 2026 · JOURNAL OF HIGH-FREQUENCY COMMUNICATION TECHNOLOGIES
  26. РАЗРАБОТКА МЕТОДА И АЛГОРИТМОВ АДАПТИВНОГО ФЕДЕРАТИВНОГО ОБУЧЕНИЯ С УЧЕТОМ РАСПРЕДЕЛЕННОГО ЗАПАЗДЫВАНИЯ КЛИЕНТСКИХ ОБНОВЛЕНИЙ
    С.Р. Ермаков, S.V. Zykov · 2026 · Современные наукоемкие технологии (Modern High Technologies)
  27. Communication compression in distributed deep learning systems: A survey from the architecture and implementation perspective
    Keshi Ge, Wenwei Long, Yong Dong, Dongsheng Li, Min Xie, 吕鹏龙, Wenzhe Zhang, Wei Zhang · 2026 · Journal of Systems Architecture
  28. Adaptive Self-Directed Intelligence Framework for Hyperconnected Autonomous Systems
    Arti Badhoutiya, B. Venkateshwar Rao, Anish Gupta, Naveenkrishna N, A. Daniel Das, P. Bhavani · 2026 · International Conference on Networks, Computers and Communications (ICNCCom)
  29. A Federated Learning Approach with Optimized AutoML for Neurodivergent Disease Classification
    Amritakhi Mohapatra, Sunil Kumar Mohapatra, Suryakant Sethi, Chinmayee Dora, Raj Kumar Mohanta, Sujata Chakravarty · 2026 · International Conference on Intelligent Computing and Sustainable Innovations in Technology (IC-SIT)
  30. Oncomorphic computing: a bio-derived paradigm for decentralized adaptation across software and hardware
    Rosalia Moreddu, Philip Greulich, Christian Baumgartner, Francesca Borghi, Michael Levin · 2026 · Research Square