Image de couverture de livre

Federated Learning Survey: A Multi-Level Taxonomy of Aggregation Techniques, Experimental Insights, and Future Frontiers

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Arbaoui, Meriem, Brahmia, Mohamed-el-Amine, Rahmoun, Abdellatif, Zghal, Mourad
Format:	Preprint
Publié:	2025
Sujets:	Machine Learning Distributed, Parallel, and Cluster Computing
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Shard the Gradient, Scale the Model: Serverless Federated Aggregation via Gradient Partitioning
par: Barrak, Amine
Publié: (2026)

An Experimental Study of Different Aggregation Schemes in Semi-Asynchronous Federated Learning
par: Li, Yunbo, et autres
Publié: (2024)

A Survey on Scheduling Techniques in the Edge Cloud: Issues, Challenges and Future Directions
par: Asghar, Hassan, et autres
Publié: (2022)

TACTFL: Temporal Contrastive Training for Multi-modal Federated Learning with Similarity-guided Model Aggregation
par: Sun, Guanxiong, et autres
Publié: (2025)

Emergent Peer-to-Peer Multi-Hub Topology
par: Legheraba, Mohamed Amine, et autres
Publié: (2024)

Navigating the Docker Ecosystem: A Comprehensive Taxonomy and Survey
par: Muzumdar, Prathamesh, et autres
Publié: (2024)

Edge AI: A Taxonomy, Systematic Review and Future Directions
par: Gill, Sukhpal Singh, et autres
Publié: (2024)

Divergence-Based Adaptive Aggregation for Byzantine Robust Federated Learning
par: Xiao, Bingnan, et autres
Publié: (2026)

On Resilient and Efficient Linear Secure Aggregation in Hierarchical Federated Learning
par: Weng, Shudi, et autres
Publié: (2026)

A Survey on Federated Analytics: Taxonomy, Enabling Techniques, Applications and Open Issues
par: Wang, Zibo, et autres
Publié: (2024)

Auto-scaling Approaches for Microservice Applications: A Survey and Taxonomy
par: Xu, Minxian, et autres
Publié: (2025)

Communication-Efficient Model Aggregation with Layer Divergence Feedback in Federated Learning
par: Wang, Liwei, et autres
Publié: (2024)

FedAPTA: Federated Multi-task Learning for Heterogeneous Devices with Adaptive Layer-wise Pruning and Task-aware Aggregation
par: Yu, Zhen, et autres
Publié: (2025)

Reinforcement Learning based Workflow Scheduling in Cloud and Edge Computing Environments: A Taxonomy, Review and Future Directions
par: Jayanetti, Amanda, et autres
Publié: (2024)

Adaptive Management of Microservices in Dynamic Computing Environments: A Taxonomy and Future Directions
par: Chen, Ming, et autres
Publié: (2026)

Communication-and-Computation Efficient Split Federated Learning: Gradient Aggregation and Resource Management
par: Liang, Yipeng, et autres
Publié: (2025)

Federated Unlearning in Edge Networks: A Survey of Fundamentals, Challenges, Practical Applications and Future Directions
par: Ng, Jer Shyuan, et autres
Publié: (2026)

Cold Start Latency in Serverless Computing: A Systematic Review, Taxonomy, and Future Directions
par: Golec, Muhammed, et autres
Publié: (2023)

Placement of Microservices-based IoT Applications in Fog Computing: A Taxonomy and Future Directions
par: Pallewatta, Samodha, et autres
Publié: (2022)

One-Bit Model Aggregation for Differentially Private and Byzantine-Robust Personalized Federated Learning
par: Lan, Muhang, et autres
Publié: (2025)

CroSatFL: Energy-Efficient Federated Learning with Cross-Aggregation for Satellite Edge Computing
par: Yang, Nan, et autres
Publié: (2026)

Evaluation Framework for Centralized and Decentralized Aggregation Algorithm in Federated Systems
par: Chongder, Sumit
Publié: (2025)

A Survey on Model-heterogeneous Federated Learning: Problems, Methods, and Prospects
par: Fan, Boyu, et autres
Publié: (2023)

Efficient Collaborations through Weight-Driven Coalition Dynamics in Federated Learning Systems
par: Hanjri, Mohammed El, et autres
Publié: (2024)

Efficient Multi-Worker Selection based Distributed Swarm Learning via Analog Aggregation
par: Yao, Zhuoyu, et autres
Publié: (2025)

Experiences Building Enterprise-Level Privacy-Preserving Federated Learning to Power AI for Science
par: Li, Zilinghan, et autres
Publié: (2025)

Breaking the Aggregation Bottleneck in Federated Recommendation: A Personalized Model Merging Approach
par: Chen, Jundong, et autres
Publié: (2025)

Robust Federated Fine-Tuning in Heterogeneous Networks with Unreliable Connections: An Aggregation View
par: Wang, Yanmeng, et autres
Publié: (2025)

Split Federated Learning Empowered Vehicular Edge Intelligence: Concept, Adaptive Design and Future Directions
par: Qiang, Xianke, et autres
Publié: (2024)

Gradient Compression and Correlation Driven Federated Learning for Wireless Traffic Prediction
par: Zhang, Chuanting, et autres
Publié: (2025)

Federated Customization of Large Models: Approaches, Experiments, and Insights
par: Ye, Yuchuan, et autres
Publié: (2026)

Wait or Not to Wait: Evaluating Trade-Offs between Speed and Precision in Blockchain-based Federated Aggregation
par: Nguyen, Huong, et autres
Publié: (2024)

Collaborative Split Federated Learning with Parallel Training and Aggregation
par: Papageorgiou, Yiannis, et autres
Publié: (2025)

Sentinel: An Aggregation Function to Secure Decentralized Federated Learning
par: Feng, Chao, et autres
Publié: (2023)

FedAgg: Adaptive Federated Learning with Aggregated Gradients
par: Yuan, Wenhao, et autres
Publié: (2023)

Efficient Data Labeling and Optimal Device Scheduling in HWNs Using Clustered Federated Semi-Supervised Learning
par: Hamood, Moqbel, et autres
Publié: (2024)

Beating vDSP: A 138 GFLOPS Radix-8 Stockham FFT on Apple Silicon via Two-Tier Register-Threadgroup Memory Decomposition
par: Bergach, Mohamed Amine
Publié: (2026)

Service-Level Energy Modeling and Experimentation for Cloud-Native Microservices
par: Legler, Julian, et autres
Publié: (2025)

Federated Learning and Evolutionary Game Model for Fog Federation Formation
par: Yasser, Zyad, et autres
Publié: (2024)

RollupTheCrowd: Leveraging ZkRollups for a Scalable and Privacy-Preserving Reputation-based Crowdsourcing Platform
par: Bendada, Ahmed Mounsf Rafik, et autres
Publié: (2024)