{"total":17,"rows":[{"id":"2307.10805","title":"Communication-Efficient Split Learning via Adaptive Feature-Wise Compression","created":"2023-07-20","cited_by_count":18,"area":null},{"id":"2303.08423","title":"Communication-Efficient Design for Quantized Decentralized Federated Learning","created":"2023-03-15","cited_by_count":6,"area":null},{"id":"2310.05269","title":"Federated Learning: A Cutting-Edge Survey of the Latest Advancements and Applications","created":"2023-10-08","cited_by_count":3,"area":null},{"id":"2501.11267","title":"Communication-Efficient Federated Learning by Quantized Variance Reduction for Heterogeneous Wireless Edge Networks","created":"2025-01-20","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":"2310.03410","title":"Over-the-Air Federated Learning with Compressed Sensing: Is Sparsification Necessary?","created":"2023-10-05","cited_by_count":1,"area":null},{"id":"2404.13575","title":"FedMPQ: Secure and Communication-Efficient Federated Learning with Multi-codebook Product Quantization","created":"2024-04-21","cited_by_count":1,"area":null},{"id":"2409.13451","title":"Noise-Robust and Resource-Efficient ADMM-based Federated Learning","created":"2024-09-20","cited_by_count":1,"area":null},{"id":"2511.13144","title":"Personalized Federated Learning with Bidirectional Communication Compression via One-Bit Random Sketching","created":"2025-11-17","cited_by_count":1,"area":null},{"id":"2509.23419","title":"Enhancing Communication Efficiency in FL with Adaptive Gradient Quantization and Communication Frequency Optimization","created":"2025-09-27","cited_by_count":0,"area":null},{"id":"2511.01296","title":"LSHFed: Robust and Communication-Efficient Federated Learning with Locally-Sensitive Hashing Gradient Mapping","created":"2025-11-03","cited_by_count":0,"area":null},{"id":"2605.11475","title":"Deep Probabilistic Unfolding for Quantized Compressive Sensing","created":"2026-05-12","cited_by_count":0,"area":null},{"id":"2605.17552","title":"Q-LocalAdam: Memory-Efficient Client-Side Adaptive Optimization for Edge Federated Learning","created":"2026-05-17","cited_by_count":0,"area":null},{"id":"2606.26822","title":"Quantization in Federated Learning: Methods, Challenges and Future Directions","created":"2026-06-25","cited_by_count":0,"area":null},{"id":"2607.13119","title":"Mixed-Timescale Differential Coding for Downlink Model Broadcast in Wireless Federated Learning","created":"2026-07-14","cited_by_count":0,"area":null},{"id":"2608.13961","title":"Polar Code Based Federated Learning: Convergence Analysis and Resource Allocation","created":"2026-08-14","cited_by_count":0,"area":null},{"id":"2610.01537","title":"FedFit: Federated Fine-Tuning of LLMs via Vector-Bank Parameterization and Quantization","created":"2026-10-01","cited_by_count":0,"area":null}],"next_cursor":null}