Cover Image

Federated Learning for Big Data: A Survey on Opportunities, Applications, and Future Directions

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Gadekallu, Thippa Reddy, Pham, Quoc-Viet, Huynh-The, Thien, Feng, Hailin, Fang, Kai, Pandya, Sharnil, Liyanage, Madhusanka, Wang, Wei, Nguyen, Thanh Thi
Format:	Preprint
Published:	2021
Subjects:	Machine Learning Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Framework, Standards, Applications and Best practices of Responsible AI : A Comprehensive Survey
by: Gadekallu, Thippa Reddy, et al.
Published: (2025)

Quantum Technologies for Beyond 5G and 6G Networks: Applications, Opportunities, and Challenges
by: Zeydan, Engin, et al.
Published: (2025)

Zero Trust Networks and Federated Unlearning Based 6G Edge Networks: Attack Scenario, Security Model and Future Directions
by: Nishat Mahdiya Khan, et al.
Published: (2025)

Cooperate to Compete: Strategic Data Generation and Incentivization Framework for Coopetitive Cross-Silo Federated Learning
by: Nguyen, Thanh Linh, et al.
Published: (2026)

A Coopetitive-Compatible Data Generation Framework for Cross-silo Federated Learning
by: Nguyen, Thanh Linh, et al.
Published: (2025)

Intelligent Radio Signal Processing: A Survey
by: Pham, Quoc-Viet, et al.
Published: (2020)

Spatial Computing: Concept, Applications, Challenges and Future Directions
by: Yenduri, Gokul, et al.
Published: (2024)

Manipulating Recommender Systems: A Survey of Poisoning Attacks and Countermeasures
by: Nguyen, Thanh Toan, et al.
Published: (2024)

An Efficient and Effective Evaluator for Text2SQL Models on Unseen and Unlabeled Data
by: Pham, Trinh, et al.
Published: (2026)

Cost-Effective Model Evaluation with Meta-Learning
by: Pham, Trinh, et al.
Published: (2026)

A Survey on Intelligent Internet of Things: Applications, Security, Privacy, and Future Directions
by: Aouedi, Ons, et al.
Published: (2024)

Enhancing Gradient Variance and Differential Privacy in Quantum Federated Learning
by: Phan, Duc-Thien, et al.
Published: (2025)

Instruction-Guided Editing Controls for Images and Multimedia: A Survey in LLM era
by: Nguyen, Thanh Tam, et al.
Published: (2024)

Advances in Protein Representation Learning: Methods, Applications, and Future Directions
by: Nguyen, Viet Thanh Duy, et al.
Published: (2025)

Right Reward Right Time for Federated Learning
by: Nguyen, Thanh Linh, et al.
Published: (2025)

Design Strategies of 2D MXene‐Based Materials for CO 2 Electrolysis and Li–CO 2 Batteries
by: Tai Thien Huynh, et al.
Published: (2026)

Solvent‐Free Synthesized Zeolites NaA‐Supported Binary Nickel‐Silver Nanoparticles and Their Use as an Efficient Catalyst for Hydrodechlorination of 2,4‐Dichlorophenol
by: Thanh Thien Co, et al.
Published: (2024)

Empowering Contrastive Federated Sequential Recommendation with LLMs
by: Nguyen, Thi Minh Chau, et al.
Published: (2026)

Applications of Generative AI (GAI) for Mobile and Wireless Networking: A Survey
by: Vu, Thai-Hoc, et al.
Published: (2024)

A Survey on XAI for 5G and Beyond Security: Technical Aspects, Challenges and Research Directions
by: Senevirathna, Thulitha, et al.
Published: (2022)

A Survey of Privacy-Preserving Model Explanations: Privacy Risks, Attacks, and Countermeasures
by: Nguyen, Thanh Tam, et al.
Published: (2024)

Diffusion Models for Future Networks and Communications: A Comprehensive Survey
by: Luong, Nguyen Cong, et al.
Published: (2025)

2D (NH 4 ) 0.5 V 2 O 5 nanobelt cathode for high performance zinc ion batteries
by: Xuan Tai Pham, et al.
Published: (2025)

Learning Reconfigurable Representations for Multimodal Federated Learning with Missing Data
by: Nguyen, Duong M., et al.
Published: (2025)

Integration of TinyML and LargeML: A Survey of 6G and Beyond
by: Vu, Thai-Hoc, et al.
Published: (2025)

A Survey of Machine Unlearning
by: Nguyen, Thanh Tam, et al.
Published: (2022)

Fast-FedUL: A Training-Free Federated Unlearning with Provable Skew Resilience
by: Huynh, Thanh Trung, et al.
Published: (2024)

Improving Generalization in Heterogeneous Federated Continual Learning via Spatio-Temporal Gradient Matching with Prototypical Coreset
by: Nguyen, Minh-Duong, et al.
Published: (2025)

Scaling Text2SQL via LLM-efficient Schema Filtering with Functional Dependency Graph Rerankers
by: Hoang, Thanh Dat, et al.
Published: (2025)

Analysis of Post-Quantum Cryptography in User Equipment in 5G and Beyond
by: Hoque, Sanzida, et al.
Published: (2025)

An Intelligent Reinforcement Learning–Based Method for Threat Detection in Mobile Edge Networks
by: Muhammad Yousaf Saeed, et al.
Published: (2024)

Beetle‐Optimized Hybrid Ensemble for Multi‐Attack Classification in VANETs
by: G. SaravanaKumar, et al.
Published: (2025)

Towards Verifiable Federated Unlearning: Framework, Challenges, and The Road Ahead
by: Nguyen, Thanh Linh, et al.
Published: (2025)

PhoWhisper: Automatic Speech Recognition for Vietnamese
by: Le, Thanh-Thien, et al.
Published: (2024)

The Emergence of Deep Reinforcement Learning for Path Planning
by: Nguyen, Thanh Thi, et al.
Published: (2025)

AC-MAMBASEG: An adaptive convolution and Mamba-based architecture for enhanced skin lesion segmentation
by: Nguyen, Viet-Thanh, et al.
Published: (2024)

Federated Prompt-Tuning with Heterogeneous and Incomplete Multimodal Client Data
by: Phung, Thu Hang, et al.
Published: (2026)

Predictive Spectral Calibration for Source-Free Test-Time Regression
by: Kiet, Nguyen Viet Tuan, et al.
Published: (2026)

Beyond C 1 Products: How Single‐Atom Catalysts Contribute to Solar‐Driven CO 2 Reduction into C 2+ Hydrocarbons
by: Nguyen Quoc Thang, et al.
Published: (2025)

SEAL: An Open, Auditable, and Fair Data Generation Framework for AI-Native 6G Networks
by: Khowaja, Sunder Ali, et al.
Published: (2026)