{"total":14,"rows":[{"id":"2410.21547","title":"Personalized Federated Learning with Mixture of Models for Adaptive Prediction and Model Fine-Tuning","created":"2024-10-28","cited_by_count":8,"area":null},{"id":"2502.17009","title":"Unbiased and Sign Compression in Distributed Learning: Comparing Noise Resilience via SDEs","created":"2025-02-24","cited_by_count":5,"area":null},{"id":"2405.05962","title":"Age Aware Scheduling for Differentially-Private Federated Learning","created":"2024-05-09","cited_by_count":2,"area":null},{"id":"2408.17108","title":"Sparse Uncertainty-Informed Sampling from Federated Streaming Data","created":"2024-08-30","cited_by_count":2,"area":null},{"id":"2506.07581","title":"FedCGD: Collective Gradient Divergence Optimized Scheduling for Wireless Federated Learning","created":"2025-06-09","cited_by_count":2,"area":null},{"id":"2312.16341","title":"Harnessing the Power of Federated Learning in Federated Contextual Bandits","created":"2023-12-26","cited_by_count":1,"area":null},{"id":"2412.20674","title":"Blockchain-Empowered Cyber-Secure Federated Learning for Trustworthy Edge Computing","created":"2024-12-30","cited_by_count":0,"area":null},{"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":"2504.11808","title":"Federated Spectral Graph Transformers Meet Neural Ordinary Differential Equations for Non-IID Graphs","created":"2025-04-16","cited_by_count":0,"area":null},{"id":"2505.13576","title":"FlexFed: Mitigating Catastrophic Forgetting in Heterogeneous Federated Learning in Pervasive Computing Environments","created":"2025-05-19","cited_by_count":0,"area":null},{"id":"2507.17285","title":"Decentralized Federated Learning of Probabilistic Generative Classifiers","created":"2025-07-23","cited_by_count":0,"area":null},{"id":"2601.22274","title":"Server-Proximal Aggregation for Federated Domain-Incremental Learning under Partial Participation: Task-Uniform Convergence and Backward Transfer","created":"2026-01-29","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":"2610.15543","title":"Beyond Aggregate Drift: Optimal Client-Specific Windows in Federated Learning","created":"2026-10-11","cited_by_count":0,"area":null}],"next_cursor":null}