{"total":124,"rows":[{"id":"2307.10616","title":"Heterogeneous Federated Learning: State-of-the-art and Research Challenges","created":"2023-07-20","cited_by_count":161,"area":null},{"id":"2104.02151","title":"Distributed Learning in Wireless Networks: Recent Progress and Future Challenges","created":"2021-04-05","cited_by_count":129,"area":null},{"id":"2106.06047","title":"Rethinking Architecture Design for Tackling Data Heterogeneity in Federated Learning","created":"2021-06-10","cited_by_count":111,"area":null},{"id":"2211.12814","title":"Vertical Federated Learning: Concepts, Advances and Challenges","created":"2022-11-23","cited_by_count":108,"area":null},{"id":"2101.00787","title":"Device Sampling for Heterogeneous Federated Learning: Theory, Algorithms, and Implementation","created":"2021-01-04","cited_by_count":40,"area":null},{"id":"2107.10996","title":"Communication Efficiency in Federated Learning: Achievements and Challenges","created":"2021-07-23","cited_by_count":40,"area":null},{"id":"2102.12920","title":"Emerging Trends in Federated Learning: From Model Fusion to Federated X Learning","created":"2021-02-25","cited_by_count":35,"area":null},{"id":"2110.13041","title":"Applications and Techniques for Fast Machine Learning in Science","created":"2021-10-25","cited_by_count":32,"area":null},{"id":"2101.00798","title":"Fusion of Federated Learning and Industrial Internet of Things: A Survey","created":"2021-01-04","cited_by_count":29,"area":null},{"id":"2106.06579","title":"Federated Learning with Spiking Neural Networks","created":"2021-06-11","cited_by_count":23,"area":null},{"id":"2111.05326","title":"The Internet of Federated Things (IoFT): A Vision for the Future and In-depth Survey of Data-driven Approaches for Federated Learning","created":"2021-11-09","cited_by_count":23,"area":null},{"id":"2106.09527","title":"Federated Learning for Intrusion Detection System: Concepts, Challenges and Future Directions","created":"2021-06-16","cited_by_count":22,"area":null},{"id":"2310.19807","title":"Improved Communication Efficiency in Federated Natural Policy Gradient via ADMM-based Gradient Updates","created":"2023-10-09","cited_by_count":21,"area":null},{"id":"2401.02094","title":"PILoRA: Prototype Guided Incremental LoRA for Federated Class-Incremental Learning","created":"2024-01-04","cited_by_count":19,"area":null},{"id":"2106.08011","title":"Over-the-Air Decentralized Federated Learning","created":"2021-06-15","cited_by_count":18,"area":null},{"id":"2111.15071","title":"Communication-Efficient Federated Learning via Quantized Compressed Sensing","created":"2021-11-30","cited_by_count":18,"area":null},{"id":"2307.10805","title":"Communication-Efficient Split Learning via Adaptive Feature-Wise Compression","created":"2023-07-20","cited_by_count":18,"area":null},{"id":"2312.08667","title":"Data and Model Poisoning Backdoor Attacks on Wireless Federated Learning, and the Defense Mechanisms: A Comprehensive Survey","created":"2023-12-14","cited_by_count":18,"area":null},{"id":"2102.01375","title":"Applications of Federated Learning in Smart Cities: Recent Advances, Taxonomy, and Open Challenges","created":"2021-02-02","cited_by_count":17,"area":null},{"id":"2110.06556","title":"Communication-Efficient Online Federated Learning Framework for Nonlinear Regression","created":"2021-10-13","cited_by_count":16,"area":null},{"id":"2110.02182","title":"A Systematic Survey of Blockchained Federated Learning","created":"2021-10-05","cited_by_count":15,"area":null},{"id":"2301.00519","title":"Holistic Network Virtualization and Pervasive Network Intelligence for 6G","created":"2023-01-02","cited_by_count":14,"area":null},{"id":"2309.01275","title":"A Comparative Evaluation of FedAvg and Per-FedAvg Algorithms for Dirichlet Distributed Heterogeneous Data","created":"2023-09-03","cited_by_count":14,"area":null},{"id":"2405.17495","title":"Vertical Federated Learning for Effectiveness, Security, Applicability: A Survey","created":"2024-05-25","cited_by_count":14,"area":null},{"id":"2111.07392","title":"Edge-Native Intelligence for 6G Communications Driven by Federated Learning: A Survey of Trends and Challenges","created":"2021-11-14","cited_by_count":12,"area":null},{"id":"2210.13111","title":"Federated Learning and Meta Learning: Approaches, Applications, and Directions","created":"2022-10-24","cited_by_count":12,"area":null},{"id":"2205.09513","title":"Federated learning: Applications, challenges and future directions","created":"2022-05-18","cited_by_count":11,"area":null},{"id":"2210.00325","title":"Privacy-preserving Decentralized Federated Learning over Time-varying Communication Graph","created":"2022-10-01","cited_by_count":11,"area":null},{"id":"2301.04829","title":"Federated Transfer-Ordered-Personalized Learning for Driver Monitoring Application","created":"2023-01-12","cited_by_count":11,"area":null},{"id":"2411.01583","title":"Trustworthy Federated Learning: Privacy, Security, and Beyond","created":"2024-11-03","cited_by_count":11,"area":null},{"id":"2205.05867","title":"Over-the-Air Federated Learning with Joint Adaptive Computation and Power Control","created":"2022-05-12","cited_by_count":9,"area":null},{"id":"2309.13002","title":"Expressive variational quantum circuits provide inherent privacy in federated learning","created":"2023-09-22","cited_by_count":8,"area":null},{"id":"2109.04253","title":"Dubhe: Towards Data Unbiasedness with Homomorphic Encryption in Federated Learning Client Selection","created":"2021-09-08","cited_by_count":7,"area":null},{"id":"2201.08270","title":"Towards Energy Efficient Distributed Federated Learning for 6G Networks","created":"2022-01-19","cited_by_count":7,"area":null},{"id":"2204.03027","title":"Federated Learning for Distributed Spectrum Sensing in NextG Communication Networks","created":"2022-04-06","cited_by_count":7,"area":null},{"id":"2204.08134","title":"A Practical Cross-Device Federated Learning Framework over 5G Networks","created":"2022-04-18","cited_by_count":7,"area":null},{"id":"2302.11466","title":"Advancements in Federated Learning: Models, Methods, and Privacy","created":"2023-02-22","cited_by_count":7,"area":null},{"id":"2303.06360","title":"FedLP: Layer-wise Pruning Mechanism for Communication-Computation Efficient Federated Learning","created":"2023-03-11","cited_by_count":7,"area":null},{"id":"2401.03552","title":"Privacy-Preserving in Blockchain-based Federated Learning Systems","created":"2024-01-07","cited_by_count":7,"area":null},{"id":"2107.04189","title":"Personalized Federated Learning over non-IID Data for Indoor Localization","created":"2021-07-09","cited_by_count":6,"area":null},{"id":"2108.02712","title":"On Addressing Heterogeneity in Federated Learning for Autonomous Vehicles Connected to a Drone Orchestrator","created":"2021-08-05","cited_by_count":6,"area":null},{"id":"2110.04160","title":"Federated Learning for Big Data: A Survey on Opportunities, Applications, and Future Directions","created":"2021-10-08","cited_by_count":6,"area":null},{"id":"2201.05172","title":"Jamming Attacks on Federated Learning in Wireless Networks","created":"2022-01-13","cited_by_count":6,"area":null},{"id":"2210.16520","title":"Fast-Convergent Federated Learning via Cyclic Aggregation","created":"2022-10-29","cited_by_count":6,"area":null},{"id":"2212.11194","title":"Free-Rider Games for Federated Learning with Selfish Clients in NextG Wireless Networks","created":"2022-12-21","cited_by_count":6,"area":null},{"id":"2312.07060","title":"Layered Randomized Quantization for Communication-Efficient and Privacy-Preserving Distributed Learning","created":"2023-12-12","cited_by_count":6,"area":null},{"id":"2401.00403","title":"Overcome Modal Bias in Multi-modal Federated Learning via Balanced Modality Selection","created":"2023-12-31","cited_by_count":6,"area":null},{"id":"2505.04873","title":"Federated Learning for Cyber Physical Systems: A Comprehensive Survey","created":"2025-05-08","cited_by_count":6,"area":null},{"id":"2301.00912","title":"Distributed Machine Learning for UAV Swarms: Computing, Sensing, and Semantics","created":"2023-01-03","cited_by_count":5,"area":null},{"id":"2405.02364","title":"A Survey on Contribution Evaluation in Vertical Federated Learning","created":"2024-05-03","cited_by_count":5,"area":null},{"id":"2101.09001","title":"Linear Regression with Distributed Learning: A Generalization Error Perspective","created":"2021-01-22","cited_by_count":4,"area":null},{"id":"2210.02119","title":"ISFL: Federated Learning for Non-i.i.d. Data with Local Importance Sampling","created":"2022-10-05","cited_by_count":4,"area":null},{"id":"2212.01732","title":"Quantum Federated Learning with Entanglement Controlled Circuits and Superposition Coding","created":"2022-12-04","cited_by_count":4,"area":null},{"id":"2304.06519","title":"Secure Federated Learning for Cognitive Radio Sensing","created":"2023-03-23","cited_by_count":4,"area":null},{"id":"2306.06399","title":"Personalized Graph Federated Learning with Differential Privacy","created":"2023-06-10","cited_by_count":4,"area":null},{"id":"2306.10841","title":"Blockchain-Enabled Federated Learning: A Reference Architecture Design, Implementation, and Verification","created":"2023-06-19","cited_by_count":4,"area":null},{"id":"2312.04688","title":"Federated Learning for 6G: Paradigms, Taxonomy, Recent Advances and Insights","created":"2023-12-07","cited_by_count":4,"area":null},{"id":"2403.06528","title":"Adaptive Federated Learning Over the Air","created":"2024-03-11","cited_by_count":4,"area":null},{"id":"2403.07903","title":"Multiple Access in the Era of Distributed Computing and Edge Intelligence","created":"2024-02-26","cited_by_count":4,"area":null},{"id":"2407.15567","title":"A New Theoretical Perspective on Data Heterogeneity in Federated Optimization","created":"2024-07-22","cited_by_count":4,"area":null},{"id":"2408.05761","title":"Personalized Federated Learning for improving radar based precipitation nowcasting on heterogeneous areas","created":"2024-08-11","cited_by_count":4,"area":null},{"id":"2102.13256","title":"Cybersecurity Threats in Connected and Automated Vehicles based Federated Learning Systems","created":"2021-02-26","cited_by_count":3,"area":null},{"id":"2107.03520","title":"Energy Efficient Federated Learning in Integrated Fog-Cloud Computing Enabled Internet-of-Things Networks","created":"2021-07-07","cited_by_count":3,"area":null},{"id":"2107.09577","title":"How Does Cell-Free Massive MIMO Support Multiple Federated Learning Groups?","created":"2021-07-20","cited_by_count":3,"area":null},{"id":"2110.00532","title":"Layer-wise and Dimension-wise Locally Adaptive Federated Learning","created":"2021-10-01","cited_by_count":3,"area":null},{"id":"2210.01307","title":"Beam Management in Ultra-dense mmWave Network via Federated Reinforcement Learning: An Intelligent and Secure Approach","created":"2022-10-04","cited_by_count":3,"area":null},{"id":"2211.14292","title":"Analysis of Error Feedback in Federated Non-Convex Optimization with Biased Compression","created":"2022-11-25","cited_by_count":3,"area":null},{"id":"2405.04875","title":"SCALA: Split Federated Learning with Concatenated Activations and Logit Adjustments","created":"2024-05-08","cited_by_count":3,"area":null},{"id":"2110.07649","title":"Federated learning and next generation wireless communications: A survey on bidirectional relationship","created":"2021-10-14","cited_by_count":2,"area":null},{"id":"2112.07938","title":"Analysis and Evaluation of Synchronous and Asynchronous FLchain","created":"2021-12-15","cited_by_count":2,"area":null},{"id":"2112.11485","title":"On-the-fly Resource-Aware Model Aggregation for Federated Learning in Heterogeneous Edge","created":"2021-12-21","cited_by_count":2,"area":null},{"id":"2302.11268","title":"Towards Decentralized Predictive Quality of Service in Next-Generation Vehicular Networks","created":"2023-02-22","cited_by_count":2,"area":null},{"id":"2304.13275","title":"Federated Learning with Uncertainty-Based Client Clustering for Fleet-Wide Fault Diagnosis","created":"2023-04-26","cited_by_count":2,"area":null},{"id":"2306.15932","title":"NIPD: A Federated Learning Person Detection Benchmark Based on Real-World Non-IID Data","created":"2023-06-28","cited_by_count":2,"area":null},{"id":"2308.10664","title":"A Safe Deep Reinforcement Learning Approach for Energy Efficient Federated Learning in Wireless Communication Networks","created":"2023-08-21","cited_by_count":2,"area":null},{"id":"2309.06805","title":"FedDIP: Federated Learning with Extreme Dynamic Pruning and Incremental Regularization","created":"2023-09-13","cited_by_count":2,"area":null},{"id":"2311.04350","title":"Device Sampling and Resource Optimization for Federated Learning in Cooperative Edge Networks","created":"2023-11-07","cited_by_count":2,"area":null},{"id":"2312.17164","title":"Securing NextG Systems against Poisoning Attacks on Federated Learning: A Game-Theoretic Solution","created":"2023-12-28","cited_by_count":2,"area":null},{"id":"2512.20814","title":"FedMPDD: Communication-Efficient Federated Learning with Privacy Preservation Attributes via Projected Directional Derivative","created":"2025-12-23","cited_by_count":2,"area":null},{"id":"2110.03319","title":"Towards Federated Learning-Enabled Visible Light Communication in 6G Systems","created":"2021-10-07","cited_by_count":1,"area":null},{"id":"2112.03896","title":"Gradient and Projection Free Distributed Online Min-Max Resource Optimization","created":"2021-12-07","cited_by_count":1,"area":null},{"id":"2303.03602","title":"Data Games: A Game-Theoretic Approach to Swarm Robotic Data Collection","created":"2023-03-07","cited_by_count":1,"area":null},{"id":"2306.02587","title":"Jammer classification with Federated Learning","created":"2023-06-05","cited_by_count":1,"area":null},{"id":"2306.08280","title":"Differentially Private Wireless Federated Learning Using Orthogonal Sequences","created":"2023-06-14","cited_by_count":1,"area":null},{"id":"2312.15375","title":"An Empirical Study of Efficiency and Privacy of Federated Learning Algorithms","created":"2023-12-24","cited_by_count":1,"area":null},{"id":"2403.16050","title":"Heterogeneous Federated Learning with Splited Language Model","created":"2024-03-24","cited_by_count":1,"area":null},{"id":"2404.14811","title":"FLARE: A New Federated Learning Framework with Adjustable Learning Rates over Resource-Constrained Wireless Networks","created":"2024-04-23","cited_by_count":1,"area":null},{"id":"2408.05886","title":"Online-Score-Aided Federated Learning for Resource-Constrained Wireless Clients with Continual Data Arrival","created":"2024-08-12","cited_by_count":1,"area":null},{"id":"2408.13926","title":"FedGlu: A personalized federated learning-based glucose forecasting algorithm for improved performance in glycemic excursion regions","created":"2024-08-25","cited_by_count":1,"area":null},{"id":"2503.09833","title":"A Comprehensive Review on Understanding the Decentralized and Collaborative Approach in Machine Learning","created":"2025-03-12","cited_by_count":1,"area":null},{"id":"2506.22374","title":"Sheaf-Based Decentralized Multimodal Learning for Next-Generation Wireless Communication Systems","created":"2025-06-27","cited_by_count":1,"area":null},{"id":"2508.17697","title":"Rethinking Federated Learning Over the Air: The Blessing of Scaling Up","created":"2025-08-25","cited_by_count":1,"area":null},{"id":"2102.01733","title":"FedProf: Selective Federated Learning with Representation Profiling","created":"2021-02-02","cited_by_count":0,"area":null},{"id":"2103.03444","title":"Optimization of User Selection and Bandwidth Allocation for Federated Learning in VLC/RF Systems","created":"2021-03-05","cited_by_count":0,"area":null},{"id":"2104.06670","title":"Towards Explainable Multi-Party Learning: A Contrastive Knowledge Sharing Framework","created":"2021-04-14","cited_by_count":0,"area":null},{"id":"2109.08819","title":"Toward Efficient Federated Learning in Multi-Channeled Mobile Edge Network with Layerd Gradient Compression","created":"2021-09-18","cited_by_count":0,"area":null},{"id":"2110.07077","title":"Modeling and Analysis of Intermittent Federated Learning Over Cellular-Connected UAV Networks","created":"2021-10-13","cited_by_count":0,"area":null},{"id":"2206.14927","title":"AFAFed -- Protocol analysis","created":"2022-06-29","cited_by_count":0,"area":null},{"id":"2209.12531","title":"An Energy Optimized Specializing DAG Federated Learning based on Event Triggered Communication","created":"2022-09-26","cited_by_count":0,"area":null},{"id":"2210.09881","title":"Random Orthogonalization for Federated Learning in Massive MIMO Systems","created":"2022-10-18","cited_by_count":0,"area":null}],"next_cursor":"100"}