{"total":43,"rows":[{"id":"2207.09353","title":"Beyond Transmitting Bits: Context, Semantics, and Task-Oriented Communications","created":"2022-07-19","cited_by_count":175,"area":null},{"id":"2103.17150","title":"Federated Learning: A Signal Processing Perspective","created":"2021-03-31","cited_by_count":49,"area":null},{"id":"2106.00490","title":"Dynamic Scheduling for Over-the-Air Federated Edge Learning with Energy Constraints","created":"2021-05-31","cited_by_count":36,"area":null},{"id":"2102.13604","title":"Federated Edge Learning with Misaligned Over-The-Air Computation","created":"2021-02-26","cited_by_count":30,"area":null},{"id":"2210.11350","title":"A Survey on Over-the-Air Computation","created":"2022-10-20","cited_by_count":21,"area":null},{"id":"2112.11167","title":"Hierarchical Over-the-Air Federated Edge Learning","created":"2021-12-21","cited_by_count":11,"area":null},{"id":"2403.02619","title":"Training Machine Learning models at the Edge: A Survey","created":"2024-03-05","cited_by_count":11,"area":null},{"id":"2103.02270","title":"Temporal-Structure-Assisted Gradient Aggregation for Over-the-Air Federated Edge Learning","created":"2021-03-03","cited_by_count":10,"area":null},{"id":"2207.09232","title":"Over-the-Air Federated Edge Learning with Hierarchical Clustering","created":"2022-07-19","cited_by_count":10,"area":null},{"id":"2210.07012","title":"Over-the-Air Computation Based on Balanced Number Systems for Federated Edge Learning","created":"2022-10-13","cited_by_count":10,"area":null},{"id":"2211.10777","title":"Non-Coherent Over-the-Air Decentralized Gradient Descent","created":"2022-11-19","cited_by_count":9,"area":null},{"id":"2207.08057","title":"Balancing Accuracy and Integrity for Reconfigurable Intelligent Surface-aided Over-the-Air Federated Learning","created":"2022-07-17","cited_by_count":8,"area":null},{"id":"2311.04253","title":"Blind Federated Learning via Over-the-Air q-QAM","created":"2023-11-07","cited_by_count":8,"area":null},{"id":"2403.01023","title":"Federated Learning via Lattice Joint Source-Channel Coding","created":"2024-03-01","cited_by_count":6,"area":null},{"id":"2402.00318","title":"Analog-digital Scheduling for Federated Learning: A Communication-Efficient Approach","created":"2024-02-01","cited_by_count":5,"area":null},{"id":"2407.21151","title":"Private Collaborative Edge Inference via Over-the-Air Computation","created":"2024-07-30","cited_by_count":5,"area":null},{"id":"2409.06343","title":"Compute-Update Federated Learning: A Lattice Coding Approach Over-the-Air","created":"2024-09-10","cited_by_count":5,"area":null},{"id":"2409.07822","title":"Over-the-Air Federated Learning via Weighted Aggregation","created":"2024-09-12","cited_by_count":5,"area":null},{"id":"2105.10699","title":"Denoising Noisy Neural Networks: A Bayesian Approach with Compensation","created":"2021-05-22","cited_by_count":4,"area":null},{"id":"2310.16606","title":"AirFL-Mem: Improving Communication-Learning Trade-Off by Long-Term Memory","created":"2023-10-25","cited_by_count":4,"area":null},{"id":"2411.13000","title":"NCAirFL: CSI-Free Over-the-Air Federated Learning Based on Non-Coherent Detection","created":"2024-11-20","cited_by_count":4,"area":null},{"id":"2102.10749","title":"CSIT-Free Model Aggregation for Federated Edge Learning via Reconfigurable Intelligent Surface","created":"2021-02-22","cited_by_count":3,"area":null},{"id":"2107.03510","title":"Federated Learning with Downlink Device Selection","created":"2021-07-07","cited_by_count":3,"area":null},{"id":"2512.03719","title":"Over-the-Air Federated Learning: Rethinking Edge AI Through Signal Processing","created":"2025-12-03","cited_by_count":3,"area":null},{"id":"2109.02353","title":"Reconfigurable Intelligent Surface Empowered Over-the-Air Federated Edge Learning","created":"2021-09-06","cited_by_count":2,"area":null},{"id":"2212.06482","title":"Over-The-Air Federated Learning Over Scalable Cell-free Massive MIMO","created":"2022-12-13","cited_by_count":2,"area":null},{"id":"2302.08447","title":"Graph Neural Networks over the Air for Decentralized Tasks in Wireless Networks","created":"2023-02-16","cited_by_count":2,"area":null},{"id":"2403.19849","title":"Biased Over-the-Air Federated Learning under Wireless Heterogeneity","created":"2024-03-28","cited_by_count":2,"area":null},{"id":"2501.18298","title":"Update Estimation and Scheduling for Over-the-Air Federated Learning with Energy Harvesting Devices","created":"2025-01-30","cited_by_count":2,"area":null},{"id":"2505.08145","title":"A Generalized Hierarchical Federated Learning Framework with Theoretical Guarantees","created":"2025-05-13","cited_by_count":2,"area":null},{"id":"2302.14648","title":"Digital Over-the-Air Federated Learning in Multi-Antenna Systems","created":"2023-02-04","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":"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":"2602.02469","title":"Age-Aware Edge-Blind Federated Learning via Over-the-Air Aggregation","created":"2026-02-02","cited_by_count":1,"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},{"id":"2308.09082","title":"Over-the-Air Computation Aided Federated Learning with the Aggregation of Normalized Gradient","created":"2023-08-17","cited_by_count":0,"area":null},{"id":"2310.02559","title":"Semi-Federated Learning: Convergence Analysis and Optimization of A Hybrid Learning Framework","created":"2023-10-04","cited_by_count":0,"area":null},{"id":"2501.10245","title":"Over-the-Air Multi-Sensor Inference with Neural Networks Using Memristor-Based Analog Computing","created":"2025-01-17","cited_by_count":0,"area":null},{"id":"2503.01324","title":"MAB-Based Channel Scheduling for Asynchronous Federated Learning in Non-Stationary Environments","created":"2025-03-03","cited_by_count":0,"area":null},{"id":"2602.18332","title":"MD-AirComp+: Adaptive Quantization for Blind Massive Digital Over-the-Air Computation","created":"2026-02-20","cited_by_count":0,"area":null},{"id":"2604.04312","title":"Out-of-Air Computation: Enabling Structured Function Extraction from Wireless Superposition","created":"2026-04-05","cited_by_count":0,"area":null},{"id":"2608.01426","title":"Cluster-Aware Over-the-Air Federated Learning with Energy-Harvesting Devices: From Global Training to Model Personalization","created":"2026-08-02","cited_by_count":0,"area":null},{"id":"2609.08312","title":"Non-Coherent Over-the-Air Federated Learning: Protocol, Convergence, and Device Scheduling","created":"2026-09-08","cited_by_count":0,"area":null}],"next_cursor":null}