{"total":62,"rows":[{"id":"2106.06843","title":"Federated Learning on Non-IID Data: A Survey","created":"2021-06-12","cited_by_count":346,"area":null},{"id":"2106.06042","title":"FedBABU: Towards Enhanced Representation for Federated Image Classification","created":"2021-06-04","cited_by_count":182,"area":null},{"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":"2108.09749","title":"Flexible Clustered Federated Learning for Client-Level Data Distribution Shift","created":"2021-08-22","cited_by_count":47,"area":null},{"id":"2205.13462","title":"FedBR: Improving Federated Learning on Heterogeneous Data via Local Learning Bias Reduction","created":"2022-05-26","cited_by_count":35,"area":null},{"id":"2209.15245","title":"Fed-CBS: A Heterogeneity-Aware Client Sampling Mechanism for Federated Learning via Class-Imbalance Reduction","created":"2022-09-30","cited_by_count":32,"area":null},{"id":"2201.07316","title":"Towards Federated Clustering: A Federated Fuzzy $c$-Means Algorithm (FFCM)","created":"2022-01-18","cited_by_count":30,"area":null},{"id":"2202.01512","title":"Data Heterogeneity-Robust Federated Learning via Group Client Selection in Industrial IoT","created":"2022-02-03","cited_by_count":25,"area":null},{"id":"2306.01334","title":"Federated Domain Generalization: A Survey","created":"2023-06-02","cited_by_count":25,"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":"2101.02373","title":"Architectural Patterns for the Design of Federated Learning Systems","created":"2021-01-07","cited_by_count":17,"area":null},{"id":"2103.00148","title":"Scalable federated machine learning with FEDn","created":"2021-02-27","cited_by_count":16,"area":null},{"id":"2104.07515","title":"FedSAE: A Novel Self-Adaptive Federated Learning Framework in Heterogeneous Systems","created":"2021-04-15","cited_by_count":16,"area":null},{"id":"2211.03300","title":"HFedMS: Heterogeneous Federated Learning with Memorable Data Semantics in Industrial Metaverse","created":"2022-11-07","cited_by_count":14,"area":null},{"id":"2303.12317","title":"Re-thinking Federated Active Learning based on Inter-class Diversity","created":"2023-03-22","cited_by_count":14,"area":null},{"id":"2205.11584","title":"PrivFairFL: Privacy-Preserving Group Fairness in Federated Learning","created":"2022-05-23","cited_by_count":13,"area":null},{"id":"2303.11673","title":"A Survey on Class Imbalance in Federated Learning","created":"2023-03-21","cited_by_count":13,"area":null},{"id":"2101.11715","title":"Failure Prediction in Production Line Based on Federated Learning: An Empirical Study","created":"2021-01-25","cited_by_count":11,"area":null},{"id":"2212.01977","title":"Distributed Pruning Towards Tiny Neural Networks in Federated Learning","created":"2022-12-05","cited_by_count":11,"area":null},{"id":"2401.09656","title":"Mobility Accelerates Learning: Convergence Analysis on Hierarchical Federated Learning in Vehicular Networks","created":"2024-01-18","cited_by_count":11,"area":null},{"id":"2104.08184","title":"CSAFL: A Clustered Semi-Asynchronous Federated Learning Framework","created":"2021-04-16","cited_by_count":10,"area":null},{"id":"2502.01145","title":"Tackling Feature and Sample Heterogeneity in Decentralized Multi-Task Learning: A Sheaf-Theoretic Approach","created":"2025-02-03","cited_by_count":10,"area":null},{"id":"2207.08581","title":"Study of the performance and scalability of federated learning for medical imaging with intermittent clients","created":"2022-07-18","cited_by_count":9,"area":null},{"id":"2107.10976","title":"Federated Learning Versus Classical Machine Learning: A Convergence Comparison","created":"2021-07-22","cited_by_count":7,"area":null},{"id":"2201.12976","title":"Heterogeneous Federated Learning via Grouped Sequential-to-Parallel Training","created":"2022-01-31","cited_by_count":7,"area":null},{"id":"2211.16952","title":"On the Design of Communication-Efficient Federated Learning for Health Monitoring","created":"2022-11-30","cited_by_count":6,"area":null},{"id":"2205.09305","title":"FedILC: Weighted Geometric Mean and Invariant Gradient Covariance for Federated Learning on Non-IID Data","created":"2022-05-19","cited_by_count":4,"area":null},{"id":"2305.00738","title":"FCA: Taming Long-tailed Federated Medical Image Classification by Classifier Anchoring","created":"2023-05-01","cited_by_count":4,"area":null},{"id":"2203.10923","title":"TinyMLOps: Operational Challenges for Widespread Edge AI Adoption","created":"2022-03-21","cited_by_count":3,"area":null},{"id":"2303.17358","title":"DPP-based Client Selection for Federated Learning with Non-IID Data","created":"2023-03-30","cited_by_count":3,"area":null},{"id":"2307.02140","title":"Towards Open Federated Learning Platforms: Survey and Vision from Technical and Legal Perspectives","created":"2023-07-05","cited_by_count":3,"area":null},{"id":"2308.04762","title":"Tram-FL: Routing-based Model Training for Decentralized Federated Learning","created":"2023-08-09","cited_by_count":3,"area":null},{"id":"2501.11002","title":"pMixFed: Efficient Personalized Federated Learning through Adaptive Layer-Wise Mixup","created":"2025-01-19","cited_by_count":3,"area":null},{"id":"2107.03428","title":"Management of Resource at the Network Edge for Federated Learning","created":"2021-07-07","cited_by_count":2,"area":null},{"id":"2205.01310","title":"FedRN: Exploiting k-Reliable Neighbors Towards Robust Federated Learning","created":"2022-05-03","cited_by_count":2,"area":null},{"id":"2208.04767","title":"Combining Stochastic Defenses to Resist Gradient Inversion: An Ablation Study","created":"2022-08-09","cited_by_count":2,"area":null},{"id":"2311.06917","title":"FLASH-RL: Federated Learning Addressing System and Static Heterogeneity using Reinforcement Learning","created":"2023-11-12","cited_by_count":2,"area":null},{"id":"2404.17670","title":"Federated Learning for Blind Image Super-Resolution","created":"2024-04-26","cited_by_count":2,"area":null},{"id":"2507.10430","title":"Efficient Federated Learning with Heterogeneous Data and Adaptive Dropout","created":"2025-07-14","cited_by_count":2,"area":null},{"id":"2507.12983","title":"FedGA: A Fair Federated Learning Framework Based on the Gini Coefficient","created":"2025-07-17","cited_by_count":2,"area":null},{"id":"2111.04550","title":"ARFED: Attack-Resistant Federated averaging based on outlier elimination","created":"2021-11-08","cited_by_count":1,"area":null},{"id":"2201.08494","title":"TOFU: Towards Obfuscated Federated Updates by Encoding Weight Updates into Gradients from Proxy Data","created":"2022-01-21","cited_by_count":1,"area":null},{"id":"2204.13414","title":"Improving the Robustness of Federated Learning for Severely Imbalanced Datasets","created":"2022-04-28","cited_by_count":1,"area":null},{"id":"2209.01417","title":"Suppressing Noise from Built Environment Datasets to Reduce Communication Rounds for Convergence of Federated Learning","created":"2022-09-03","cited_by_count":1,"area":null},{"id":"2307.08324","title":"A Secure Aggregation for Federated Learning on Long-Tailed Data","created":"2023-07-17","cited_by_count":1,"area":null},{"id":"2311.01201","title":"Federated Learning on Edge Sensing Devices: A Review","created":"2023-11-02","cited_by_count":1,"area":null},{"id":"2312.17430","title":"LEFL: Low Entropy Client Sampling in Federated Learning","created":"2023-12-29","cited_by_count":1,"area":null},{"id":"2409.15802","title":"A Multi-Level Approach for Class Imbalance Problem in Federated Learning for Remote Industry 4.0 Applications","created":"2024-09-24","cited_by_count":1,"area":null},{"id":"2411.18877","title":"Swarm Intelligence-Driven Client Selection for Federated Learning in Cybersecurity applications","created":"2024-11-28","cited_by_count":1,"area":null},{"id":"2507.14980","title":"FedWCM: Unleashing the Potential of Momentum-based Federated Learning in Long-Tailed Scenarios","created":"2025-07-20","cited_by_count":1,"area":null},{"id":"2509.20877","title":"Distribution-Controlled Client Selection to Improve Federated Learning Strategies","created":"2025-09-25","cited_by_count":1,"area":null},{"id":"2112.09436","title":"Privacy preserving n-party scalar product protocol","created":"2021-12-17","cited_by_count":0,"area":null},{"id":"2301.03720","title":"Federated Learning for Energy Constrained IoT devices: A systematic mapping study","created":"2023-01-09","cited_by_count":0,"area":null},{"id":"2405.16233","title":"Client2Vec: Improving Federated Learning by Distribution Shifts Aware Client Indexing","created":"2024-05-25","cited_by_count":0,"area":null},{"id":"2406.00150","title":"Non-Federated Multi-Task Split Learning for Heterogeneous Sources","created":"2024-05-31","cited_by_count":0,"area":null},{"id":"2406.02600","title":"Data Quality in Edge Machine Learning: A State-of-the-Art Survey","created":"2024-06-01","cited_by_count":0,"area":null},{"id":"2407.12446","title":"Non-parametric regularization for class imbalance federated medical image classification","created":"2024-07-17","cited_by_count":0,"area":null},{"id":"2411.01050","title":"BACSA: A Bias-Aware Client Selection Algorithm for Privacy-Preserving Federated Learning in Wireless Healthcare Networks","created":"2024-11-01","cited_by_count":0,"area":null},{"id":"2509.22507","title":"Adaptive Dual-Mode Distillation with Incentive Schemes for Scalable, Heterogeneous Federated Learning on Non-IID Data","created":"2025-09-26","cited_by_count":0,"area":null},{"id":"2510.08058","title":"FedDTRE: Federated Dialogue Generation Models Powered by Trustworthiness Evaluation","created":"2025-10-09","cited_by_count":0,"area":null},{"id":"2602.23504","title":"FedDAG: Clustered Federated Learning via Global Data and Gradient Integration for Heterogeneous Environments","created":"2026-02-26","cited_by_count":0,"area":null},{"id":"2609.07192","title":"FedRAW: Preserving Rare-Label Influence in Asynchronous Federated Learning","created":"2026-09-07","cited_by_count":0,"area":null}],"next_cursor":null}