{"total":86,"rows":[{"id":"2308.10407","title":"Federated Learning for Connected and Automated Vehicles: A Survey of Existing Approaches and Challenges","created":"2023-08-21","cited_by_count":40,"area":null},{"id":"2308.04604","title":"A Survey on Decentralized Federated Learning","created":"2023-08-08","cited_by_count":27,"area":null},{"id":"2405.11525","title":"Overcoming Data and Model Heterogeneities in Decentralized Federated Learning via Synthetic Anchors","created":"2024-05-19","cited_by_count":21,"area":null},{"id":"2501.15361","title":"Decentralized Low-Rank Fine-Tuning of Large Language Models","created":"2025-01-26","cited_by_count":14,"area":null},{"id":"2401.16685","title":"Communication-Efficient Multimodal Federated Learning: Joint Modality and Client Selection","created":"2024-01-30","cited_by_count":11,"area":null},{"id":"2404.12130","title":"One-Shot Sequential Federated Learning for Non-IID Data by Enhancing Local Model Diversity","created":"2024-04-18","cited_by_count":8,"area":null},{"id":"2409.17754","title":"Byzantine-Robust Aggregation for Securing Decentralized Federated Learning","created":"2024-09-26","cited_by_count":7,"area":null},{"id":"2507.22908","title":"A Privacy-Preserving Federated Framework with Hybrid Quantum-Enhanced Learning for Financial Fraud Detection","created":"2025-07-15","cited_by_count":7,"area":null},{"id":"2308.08290","title":"DFedADMM: Dual Constraints Controlled Model Inconsistency for Decentralized Federated Learning","created":"2023-08-16","cited_by_count":6,"area":null},{"id":"2411.17461","title":"SoK: Blockchain-Based Decentralized AI (DeAI)","created":"2024-11-26","cited_by_count":6,"area":null},{"id":"2310.05093","title":"Asymmetrically Decentralized Federated Learning","created":"2023-10-08","cited_by_count":5,"area":null},{"id":"2310.07048","title":"FedMFS: Federated Multimodal Fusion Learning with Selective Modality Communication","created":"2023-10-10","cited_by_count":4,"area":null},{"id":"2402.01863","title":"DFML: Decentralized Federated Mutual Learning","created":"2024-02-02","cited_by_count":4,"area":null},{"id":"2408.14001","title":"Decentralized Federated Learning with Model Caching on Mobile Agents","created":"2024-08-26","cited_by_count":4,"area":"agents"},{"id":"2410.01922","title":"NTK-DFL: Enhancing Decentralized Federated Learning in Heterogeneous Settings via Neural Tangent Kernel","created":"2024-10-02","cited_by_count":4,"area":null},{"id":"2404.15943","title":"Decentralized Personalized Federated Learning based on a Conditional Sparse-to-Sparser Scheme","created":"2024-04-24","cited_by_count":3,"area":null},{"id":"2409.17189","title":"Decentralized Federated Learning with Gradient Tracking over Time-Varying Directed Networks","created":"2024-09-25","cited_by_count":3,"area":null},{"id":"2501.04331","title":"AutoDFL: A Scalable and Automated Reputation-Aware Decentralized Federated Learning","created":"2025-01-08","cited_by_count":3,"area":null},{"id":"2510.12595","title":"Research in Collaborative Learning Does Not Serve Cross-Silo Federated Learning in Practice","created":"2025-10-14","cited_by_count":3,"area":null},{"id":"2308.16671","title":"Sparse Decentralized Federated Learning","created":"2023-08-31","cited_by_count":2,"area":null},{"id":"2310.03178","title":"Digital Ethics in Federated Learning","created":"2023-10-04","cited_by_count":2,"area":null},{"id":"2312.16638","title":"Robust Collaborative Inference with Vertically Split Data Over Dynamic Device Environments","created":"2023-12-27","cited_by_count":2,"area":null},{"id":"2403.15855","title":"Initialisation and Network Effects in Decentralised Federated Learning","created":"2024-03-23","cited_by_count":2,"area":null},{"id":"2410.07272","title":"Boosting the Performance of Decentralized Federated Learning via Catalyst Acceleration","created":"2024-10-09","cited_by_count":2,"area":null},{"id":"2411.06618","title":"Using Diffusion Models as Generative Replay in Continual Federated Learning -- What will Happen?","created":"2024-11-10","cited_by_count":2,"area":"diffusion"},{"id":"2501.04817","title":"Decentralised Resource Sharing in TinyML: Wireless Bilayer Gossip Parallel SGD for Collaborative Learning","created":"2025-01-08","cited_by_count":2,"area":null},{"id":"2502.00587","title":"Robust Knowledge Distillation in Federated Learning: Counteracting Backdoor Attacks","created":"2025-02-01","cited_by_count":2,"area":"distill"},{"id":"2507.06931","title":"DICE: Data Influence Cascade in Decentralized Learning","created":"2025-07-09","cited_by_count":2,"area":null},{"id":"2509.21389","title":"Towards Adapting Federated & Quantum Machine Learning for Network Intrusion Detection: A Survey","created":"2025-09-24","cited_by_count":2,"area":null},{"id":"2510.17480","title":"Unified Privacy Guarantees for Decentralized Learning via Matrix Factorization","created":"2025-10-20","cited_by_count":2,"area":null},{"id":"2601.06436","title":"Certified Unlearning in Decentralized Federated Learning","created":"2026-01-10","cited_by_count":2,"area":"safety"},{"id":"2603.19337","title":"Diffusion-Guided Semantic Consistency for Multimodal Heterogeneity","created":"2026-03-19","cited_by_count":2,"area":"diffusion"},{"id":"2310.07497","title":"Energy-Efficient and Real-Time Sensing for Federated Continual Learning via Sample-Driven Control","created":"2023-10-11","cited_by_count":1,"area":null},{"id":"2310.17890","title":"Federated Learning over Hierarchical Wireless Networks: Training Latency Minimization via Submodel Partitioning","created":"2023-10-27","cited_by_count":1,"area":null},{"id":"2406.06202","title":"Federated learning in food research","created":"2024-06-10","cited_by_count":1,"area":null},{"id":"2410.06482","title":"OledFL: Unleashing the Potential of Decentralized Federated Learning via Opposite Lookahead Enhancement","created":"2024-10-09","cited_by_count":1,"area":null},{"id":"2410.14075","title":"FedPAE: Peer-Adaptive Ensemble Learning for Asynchronous and Model-Heterogeneous Federated Learning","created":"2024-10-17","cited_by_count":1,"area":null},{"id":"2412.12837","title":"Exposing the Vulnerability of Decentralized Learning to Membership Inference Attacks Through the Lens of Graph Mixing","created":"2024-12-17","cited_by_count":1,"area":"safety"},{"id":"2503.11828","title":"Performance Analysis of Decentralized Federated Learning Deployments","created":"2025-03-14","cited_by_count":1,"area":null},{"id":"2503.17683","title":"Decentralized Federated Dataset Dictionary Learning for Multi-Source Domain Adaptation","created":"2025-03-22","cited_by_count":1,"area":null},{"id":"2503.18981","title":"FedSKD: Aggregation-free Model-heterogeneous Federated Learning via Multi-dimensional Similarity Knowledge Distillation for Medical Image Classification","created":"2025-03-23","cited_by_count":1,"area":"distill"},{"id":"2505.08125","title":"Sharp Gaussian approximations for Decentralized Federated Learning","created":"2025-05-12","cited_by_count":1,"area":null},{"id":"2505.15683","title":"FedSEA-LLaMA: A Secure, Efficient and Adaptive Federated Splitting Framework for Large Language Models","created":"2025-05-21","cited_by_count":1,"area":null},{"id":"2508.02993","title":"On the Fast Adaptation of Delayed Clients in Decentralized Federated Learning: A Centroid-Aligned Distillation Approach","created":"2025-08-05","cited_by_count":1,"area":null},{"id":"2512.20627","title":"Efficient Asynchronous Federated Evaluation with Strategy Similarity Awareness for Intent-Based Networking in Industrial Internet of Things","created":"2025-11-28","cited_by_count":1,"area":null},{"id":"2605.06971","title":"Decentralized Time-Varying Optimization for Streaming Data via Temporal Weighting","created":"2026-05-07","cited_by_count":1,"area":null},{"id":"2605.16089","title":"Centralized vs Decentralized Federated Learning: A trade-off performance analysis","created":"2026-05-15","cited_by_count":1,"area":null},{"id":"2605.21115","title":"Automated Byzantine-Resilient Clustered Decentralized Federated Learning for Battery Intelligence in Connected EVs","created":"2026-05-20","cited_by_count":1,"area":null},{"id":"2407.03622","title":"MSfusion: A Dynamic Model Splitting Approach for Resource-Constrained Machines to Collaboratively Train Larger Models","created":"2024-07-04","cited_by_count":0,"area":null},{"id":"2407.05141","title":"Impact of Network Topology on Byzantine Resilience in Decentralized Federated Learning","created":"2024-07-06","cited_by_count":0,"area":null},{"id":"2408.10664","title":"Federated Clustering: An Unsupervised Cluster-Wise Training for Decentralized Data Distributions","created":"2024-08-20","cited_by_count":0,"area":null},{"id":"2411.09267","title":"Towards efficient compression and communication for prototype-based decentralized learning","created":"2024-11-14","cited_by_count":0,"area":null},{"id":"2503.08467","title":"Accelerating MoE Model Inference with Expert Sharding","created":"2025-03-11","cited_by_count":0,"area":"moe"},{"id":"2504.01882","title":"CO-DEFEND: Continuous Decentralized Federated Learning for Secure DoH-Based Threat Detection","created":"2025-04-02","cited_by_count":0,"area":null},{"id":"2504.06235","title":"Decentralized Domain Generalization with Style Sharing: Formal Model and Convergence Analysis","created":"2025-04-08","cited_by_count":0,"area":null},{"id":"2505.21219","title":"Addressing Data Quality Decompensation in Federated Learning via Dynamic Client Selection","created":"2025-05-27","cited_by_count":0,"area":null},{"id":"2505.23063","title":"Loss-Guided Model Sharing and Local Learning Correction in Decentralized Federated Learning for Crop Disease Classification","created":"2025-05-29","cited_by_count":0,"area":null},{"id":"2506.16723","title":"TriCon-SF: A Triple-Shuffle and Contribution-Aware Serial Federated Learning Framework for Heterogeneous Healthcare Data","created":"2025-06-20","cited_by_count":0,"area":null},{"id":"2509.10537","title":"On Using Large-Batches in Federated Learning","created":"2025-09-05","cited_by_count":0,"area":null},{"id":"2509.11337","title":"On the Escaping Efficiency of Distributed Adversarial Training Algorithms","created":"2025-09-14","cited_by_count":0,"area":null},{"id":"2509.26462","title":"Zero-Shot Decentralized Federated Learning","created":"2025-09-30","cited_by_count":0,"area":null},{"id":"2510.15300","title":"DFCA: Decentralized Federated Clustering Algorithm","created":"2025-10-17","cited_by_count":0,"area":null},{"id":"2511.23282","title":"Closing the Generalization Gap in Parameter-efficient Federated Edge Learning","created":"2025-11-28","cited_by_count":0,"area":null},{"id":"2512.01549","title":"Delta Sum Learning: an approach for fast and global convergence in Gossip Learning","created":"2025-12-01","cited_by_count":0,"area":null},{"id":"2512.12022","title":"DFedReweighting: A Unified Framework for Objective-Oriented Reweighting in Decentralized Federated Learning","created":"2025-12-12","cited_by_count":0,"area":null},{"id":"2512.12737","title":"Communication-Efficient Neural Tangent Kernels for Heterogeneous Decentralized Federated Learning","created":"2025-12-14","cited_by_count":0,"area":null},{"id":"2512.18432","title":"Federated Learning Based Decentralized Adaptive Intelligent Transmission Protocol for Privacy Preserving 6G Networks","created":"2025-12-20","cited_by_count":0,"area":null},{"id":"2601.10012","title":"PID-Guided Partial Alignment for Multimodal Decentralized Federated Learning","created":"2026-01-15","cited_by_count":0,"area":null},{"id":"2603.12001","title":"Decentralized Orchestration Architecture for Fluid Computing: A Secure Distributed AI Use Case","created":"2026-03-12","cited_by_count":0,"area":null},{"id":"2603.16881","title":"Federated Multi Agent Deep Learning and Neural Networks for Advanced Distributed Sensing in Wireless Networks","created":"2026-02-24","cited_by_count":0,"area":null},{"id":"2605.07863","title":"ADKO: Agentic Decentralized Knowledge Optimization","created":"2026-05-08","cited_by_count":0,"area":"agents"},{"id":"2605.26162","title":"On the Push-Based Asynchronous Federated Learning: A Bias-Correction Aggregation Approach","created":"2026-05-24","cited_by_count":0,"area":null},{"id":"2606.02894","title":"Tiny Collaborative Inference for Occlusion-Robust Object Detection","created":"2026-06-01","cited_by_count":0,"area":null},{"id":"2606.06687","title":"Towards Serverless Semi-Decentralized Federated Learning with Heterogeneous Optimizers","created":"2026-06-04","cited_by_count":0,"area":null},{"id":"2606.10774","title":"Asynchronous Decentralized Federated Learning over Lossy Wireless Links via Reception- and Age-Aware Aggregation","created":"2026-06-09","cited_by_count":0,"area":null},{"id":"2606.10780","title":"Secure Aggregation with Top-K Sparsification in Decentralized Federated Learning","created":"2026-06-09","cited_by_count":0,"area":null},{"id":"2606.16891","title":"Beyond Weights and Gradients: A Taxonomy of Federated Learning Messages","created":"2026-06-15","cited_by_count":0,"area":null},{"id":"2606.22466","title":"Federated learning with heavy-tailed gradient noise and communication noise: a variance-reduction based algorithm","created":"2026-06-21","cited_by_count":0,"area":null},{"id":"2607.02187","title":"Privacy-Preserving and Verifiable Approximate Distributed Coded Computing","created":"2026-07-02","cited_by_count":0,"area":null},{"id":"2608.01197","title":"Reputation-driven Cooperation in Lattice-based Decentralized Federated Learning through Evolutionary Game Theory","created":"2026-08-02","cited_by_count":0,"area":null},{"id":"2608.08138","title":"EFFEKT: Efficient Federated Knowledge Transfer to Foundation Models","created":"2026-08-08","cited_by_count":0,"area":null},{"id":"2608.09208","title":"FedA2L: Adaptive layer-wise learning rate adjustment in decentralized federated learning","created":"2026-08-10","cited_by_count":0,"area":null},{"id":"2608.09565","title":"Distributed Optimization with Streaming Data: A Temporal Weighting Perspective","created":"2026-08-10","cited_by_count":0,"area":null},{"id":"2608.09748","title":"Defining Decentralization: An Ontological Perspective","created":"2026-08-10","cited_by_count":0,"area":null},{"id":"2608.21137","title":"BackDFL: A Unified Benchmark For Backdoor Attacks and Defenses In Decentralized Federated Learning","created":"2026-08-21","cited_by_count":0,"area":null},{"id":"2609.23773","title":"SAGE: Optimal-Stopping Peer Selection for Decentralised Federated Learning","created":"2026-09-20","cited_by_count":0,"area":null}],"next_cursor":null}