{"total":62,"rows":[{"id":"2104.02151","title":"Distributed Learning in Wireless Networks: Recent Progress and Future Challenges","created":"2021-04-05","cited_by_count":129,"area":null},{"id":"2111.12444","title":"Edge Artificial Intelligence for 6G: Vision, Enabling Technologies, and Applications","created":"2021-11-24","cited_by_count":97,"area":null},{"id":"2103.17150","title":"Federated Learning: A Signal Processing Perspective","created":"2021-03-31","cited_by_count":49,"area":null},{"id":"2208.10888","title":"Joint Privacy Enhancement and Quantization in Federated Learning","created":"2022-08-23","cited_by_count":35,"area":null},{"id":"2106.13039","title":"Low-Latency Federated Learning over Wireless Channels with Differential Privacy","created":"2021-06-20","cited_by_count":25,"area":null},{"id":"2103.01953","title":"Privacy Amplification for Federated Learning via User Sampling and Wireless Aggregation","created":"2021-03-02","cited_by_count":22,"area":null},{"id":"2210.11350","title":"A Survey on Over-the-Air Computation","created":"2022-10-20","cited_by_count":21,"area":null},{"id":"2307.00974","title":"Over-The-Air Federated Learning: Status Quo, Open Challenges, and Future Directions","created":"2023-07-03","cited_by_count":21,"area":null},{"id":"2301.03377","title":"Machine Learning for Large-Scale Optimization in 6G Wireless Networks","created":"2023-01-03","cited_by_count":18,"area":null},{"id":"2312.08667","title":"Data and Model Poisoning Backdoor Attacks on Wireless Federated Learning, and the Defense Mechanisms: A Comprehensive Survey","created":"2023-12-14","cited_by_count":18,"area":null},{"id":"2104.10095","title":"Turning Channel Noise into an Accelerator for Over-the-Air Principal Component Analysis","created":"2021-04-20","cited_by_count":14,"area":null},{"id":"2211.01255","title":"Task-Oriented Over-the-Air Computation for Multi-Device Edge AI","created":"2022-11-02","cited_by_count":14,"area":null},{"id":"2112.11167","title":"Hierarchical Over-the-Air Federated Edge Learning","created":"2021-12-21","cited_by_count":11,"area":null},{"id":"2203.15488","title":"Over-the-Air Federated Learning via Second-Order Optimization","created":"2022-03-29","cited_by_count":11,"area":null},{"id":"2202.03129","title":"Over-the-Air Ensemble Inference with Model Privacy","created":"2022-02-07","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":"2301.03062","title":"AnycostFL: Efficient On-Demand Federated Learning over Heterogeneous Edge Devices","created":"2023-01-08","cited_by_count":10,"area":null},{"id":"2308.04237","title":"Federated Inference with Reliable Uncertainty Quantification over Wireless Channels via Conformal Prediction","created":"2023-08-08","cited_by_count":10,"area":null},{"id":"2310.10089","title":"Over-the-Air Federated Learning and Optimization","created":"2023-10-16","cited_by_count":10,"area":null},{"id":"2112.15486","title":"Efficient and Reliable Overlay Networks for Decentralized Federated Learning","created":"2021-12-12","cited_by_count":9,"area":null},{"id":"2105.00395","title":"AirMixML: Over-the-Air Data Mixup for Inherently Privacy-Preserving Edge Machine Learning","created":"2021-05-02","cited_by_count":6,"area":null},{"id":"2106.00564","title":"Wireless Federated Learning with Limited Communication and Differential Privacy","created":"2021-06-01","cited_by_count":6,"area":null},{"id":"2110.09660","title":"BEV-SGD: Best Effort Voting SGD for Analog Aggregation Based Federated Learning against Byzantine Attackers","created":"2021-10-18","cited_by_count":6,"area":null},{"id":"2111.01221","title":"Robust Federated Learning via Over-The-Air Computation","created":"2021-11-01","cited_by_count":6,"area":null},{"id":"2203.17028","title":"Differentially Private Federated Learning via Reconfigurable Intelligent Surface","created":"2022-03-31","cited_by_count":5,"area":null},{"id":"2208.06963","title":"Privacy-Preserving Decentralized Inference with Graph Neural Networks in Wireless Networks","created":"2022-08-15","cited_by_count":5,"area":null},{"id":"2210.02235","title":"Over-the-Air Federated Learning with Privacy Protection via Correlated Additive Perturbations","created":"2022-10-05","cited_by_count":5,"area":null},{"id":"2212.13992","title":"Social-Aware Clustered Federated Learning with Customized Privacy Preservation","created":"2022-12-25","cited_by_count":5,"area":null},{"id":"2304.07460","title":"Communication and Energy Efficient Wireless Federated Learning with Intrinsic Privacy","created":"2023-04-15","cited_by_count":5,"area":null},{"id":"2306.10299","title":"Edge Intelligence Over the Air: Two Faces of Interference in Federated Learning","created":"2023-06-17","cited_by_count":5,"area":null},{"id":"2306.10982","title":"Differentially Private Over-the-Air Federated Learning Over MIMO Fading Channels","created":"2023-06-19","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":"2508.15185","title":"Integrated Sensing, Communication, and Computation for Over-the-Air Federated Edge Learning","created":"2025-08-21","cited_by_count":5,"area":null},{"id":"2205.02949","title":"Over-The-Air Federated Learning under Byzantine Attacks","created":"2022-05-05","cited_by_count":4,"area":null},{"id":"2207.12884","title":"CFLIT: Coexisting Federated Learning and Information Transfer","created":"2022-07-26","cited_by_count":4,"area":null},{"id":"2306.00675","title":"RHFedMTL: Resource-Aware Hierarchical Federated Multi-Task Learning","created":"2023-06-01","cited_by_count":4,"area":null},{"id":"2306.06603","title":"Task-Oriented Integrated Sensing, Computation and Communication for Wireless Edge AI","created":"2023-06-11","cited_by_count":4,"area":null},{"id":"2103.04014","title":"Over-the-Air Statistical Estimation","created":"2021-03-06","cited_by_count":3,"area":null},{"id":"2202.13932","title":"Leveraging Channel Noise for Sampling and Privacy via Quantized Federated Langevin Monte Carlo","created":"2022-02-28","cited_by_count":3,"area":null},{"id":"2302.12509","title":"Personalizing Federated Learning with Over-the-Air Computations","created":"2023-02-24","cited_by_count":3,"area":null},{"id":"2406.11569","title":"Pre-Training and Personalized Fine-Tuning via Over-the-Air Federated Meta-Learning: Convergence-Generalization Trade-Offs","created":"2024-06-17","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":"2305.11135","title":"Convergence Analysis of Over-the-Air FL with Compression and Power Control via Clipping","created":"2023-05-18","cited_by_count":2,"area":null},{"id":"2403.03157","title":"Rethinking Clustered Federated Learning in NOMA Enhanced Wireless Networks","created":"2024-03-05","cited_by_count":2,"area":null},{"id":"2404.13348","title":"Socialized Learning: A Survey of the Paradigm Shift for Edge Intelligence in Networked Systems","created":"2024-04-20","cited_by_count":2,"area":null},{"id":"2303.17885","title":"Accelerating Wireless Federated Learning via Nesterov's Momentum and Distributed Principle Component Analysis","created":"2023-03-31","cited_by_count":1,"area":null},{"id":"2305.03547","title":"Over-the-Air Federated Averaging with Limited Power and Privacy Budgets","created":"2023-05-05","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":"2411.07806","title":"Federated Low-Rank Adaptation with Differential Privacy over Wireless Networks","created":"2024-11-12","cited_by_count":1,"area":null},{"id":"2412.03867","title":"GP-FL: Model-Based Hessian Estimation for Second-Order Over-the-Air Federated Learning","created":"2024-12-05","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":"2510.23463","title":"Differential Privacy as a Perk: Federated Learning over Multiple-Access Fading Channels with a Multi-Antenna Base Station","created":"2025-10-27","cited_by_count":1,"area":null},{"id":"2308.09072","title":"Joint Power Control and Data Size Selection for Over-the-Air Computation Aided Federated Learning","created":"2023-08-17","cited_by_count":0,"area":null},{"id":"2409.11240","title":"Federated Learning with Integrated Sensing, Communication, and Computation: Frameworks and Performance Analysis","created":"2024-09-17","cited_by_count":0,"area":null},{"id":"2410.05354","title":"Over-the-Air Federated Learning in Cell-Free MIMO with Long-term Power Constraint","created":"2024-10-07","cited_by_count":0,"area":null},{"id":"2412.04408","title":"Providing Differential Privacy for Federated Learning Over Wireless: A Cross-layer Framework","created":"2024-12-05","cited_by_count":0,"area":null},{"id":"2506.12749","title":"Free Privacy Protection for Wireless Federated Learning: Enjoy It or Suffer from It?","created":"2025-06-15","cited_by_count":0,"area":null},{"id":"2507.00920","title":"Privacy-Preserving Quantized Federated Learning with Diverse Precision","created":"2025-07-01","cited_by_count":0,"area":null},{"id":"2512.19103","title":"Timely Parameter Updating in Over-the-Air Federated Learning","created":"2025-12-22","cited_by_count":0,"area":null},{"id":"2603.19040","title":"When Differential Privacy Meets Wireless Federated Learning: An Improved Analysis for Privacy and Convergence","created":"2026-03-19","cited_by_count":0,"area":null},{"id":"2609.09591","title":"Modality-Decoupled Federated Learning for Privacy-Preserving Embodied Intelligence in 6G","created":"2026-09-09","cited_by_count":0,"area":null}],"next_cursor":null}