{"total":20,"rows":[{"id":"2101.03367","title":"Opportunities of Federated Learning in Connected, Cooperative and Automated Industrial Systems","created":"2021-01-09","cited_by_count":45,"area":null},{"id":"2102.09527","title":"Vision-Aided 6G Wireless Communications: Blockage Prediction and Proactive Handoff","created":"2021-02-18","cited_by_count":30,"area":null},{"id":"2311.05303","title":"Reliable and Efficient Data Collection in UAV-based IoT Networks","created":"2023-11-09","cited_by_count":3,"area":null},{"id":"2104.08109","title":"Split Learning Meets Koopman Theory for Wireless Remote Monitoring and Prediction","created":"2021-04-16","cited_by_count":1,"area":null},{"id":"2108.12198","title":"Deep Reinforcement Learning for Wireless Resource Allocation Using Buffer State Information","created":"2021-08-27","cited_by_count":1,"area":null},{"id":"2212.11805","title":"BSAC-CoEx: Coexistence of URLLC and Distributed Learning Services via Device Selection","created":"2022-12-22","cited_by_count":1,"area":null},{"id":"2307.10648","title":"Data-Driven Latency Probability Prediction for Wireless Networks: Focusing on Tail Probabilities","created":"2023-07-20","cited_by_count":1,"area":null},{"id":"2412.14668","title":"LoLaFL: Low-Latency Federated Learning via Forward-only Propagation","created":"2024-12-19","cited_by_count":1,"area":null},{"id":"2506.03586","title":"Beamforming and Resource Allocation for Delay Minimization in RIS-Assisted OFDM Systems","created":"2025-06-04","cited_by_count":1,"area":null},{"id":"2506.12795","title":"Resilient-native and Intelligent NextG Systems","created":"2025-06-15","cited_by_count":1,"area":null},{"id":"2103.10419","title":"Computer Vision Aided URLL Communications: Proactive Service Identification and Coexistence","created":"2021-03-18","cited_by_count":0,"area":null},{"id":"2104.14283","title":"Uncertainty Principles in Risk-Aware Statistical Estimation","created":"2021-04-29","cited_by_count":0,"area":null},{"id":"2108.07504","title":"Federated Learning with Correlated Data: Taming the Tail for Age-Optimal Industrial IoT","created":"2021-08-17","cited_by_count":0,"area":null},{"id":"2401.06135","title":"A Distributed Neural Linear Thompson Sampling Framework to Achieve URLLC in Industrial IoT","created":"2023-11-21","cited_by_count":0,"area":null},{"id":"2405.01995","title":"Cooperation and Federation in Distributed Radar Point Cloud Processing","created":"2024-05-03","cited_by_count":0,"area":null},{"id":"2505.05224","title":"GFlowNets for Active Learning Based Resource Allocation in Next Generation Wireless Networks","created":"2025-05-08","cited_by_count":0,"area":null},{"id":"2509.26311","title":"Ultra-Reliable Risk-Aggregated Sum Rate Maximization via Model-Aided Deep Learning","created":"2025-09-30","cited_by_count":0,"area":null},{"id":"2601.06733","title":"Logic-Driven Semantic Communication for Resilient Multi-Agent Systems","created":"2026-01-11","cited_by_count":0,"area":null},{"id":"2607.27626","title":"Real-Time Hard Peak Age-of-Information Safety with No-Regret Learning","created":"2026-07-30","cited_by_count":0,"area":null},{"id":"2608.15314","title":"Physics-informed VAE-EVT for Tail Aware Radio Map Prediction","created":"2026-08-15","cited_by_count":0,"area":null}],"next_cursor":null}