{"total":51,"rows":[{"id":"2106.06843","title":"Federated Learning on Non-IID Data: A Survey","created":"2021-06-12","cited_by_count":346,"area":null},{"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":"2104.14362","title":"From Distributed Machine Learning to Federated Learning: A Survey","created":"2021-04-29","cited_by_count":66,"area":null},{"id":"2102.04737","title":"Federated Learning with Local Differential Privacy: Trade-offs between Privacy, Utility, and Communication","created":"2021-02-09","cited_by_count":39,"area":null},{"id":"2203.05816","title":"No Free Lunch Theorem for Security and Utility in Federated Learning","created":"2022-03-11","cited_by_count":39,"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":"2202.07178","title":"Federated Learning with Sparsified Model Perturbation: Improving Accuracy under Client-Level Differential Privacy","created":"2022-02-15","cited_by_count":33,"area":null},{"id":"2106.09779","title":"Private Federated Learning Without a Trusted Server: Optimal Algorithms for Convex Losses","created":"2021-06-17","cited_by_count":30,"area":null},{"id":"2203.06735","title":"Private Non-Convex Federated Learning Without a Trusted Server","created":"2022-03-13","cited_by_count":26,"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":"2302.10637","title":"A Survey of Trustworthy Federated Learning with Perspectives on Security, Robustness, and Privacy","created":"2023-02-21","cited_by_count":24,"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":"2101.10572","title":"Transparent Contribution Evaluation for Secure Federated Learning on Blockchain","created":"2021-01-26","cited_by_count":16,"area":null},{"id":"2107.12452","title":"Accelerated Gradient Descent Learning over Multiple Access Fading Channels","created":"2021-07-26","cited_by_count":14,"area":null},{"id":"2405.09839","title":"Advances in Robust Federated Learning: A Survey with Heterogeneity Considerations","created":"2024-05-16","cited_by_count":12,"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":"2106.00564","title":"Wireless Federated Learning with Limited Communication and Differential Privacy","created":"2021-06-01","cited_by_count":6,"area":null},{"id":"2411.18752","title":"Locally Differentially Private Online Federated Learning With Correlated Noise","created":"2024-11-27","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":"2304.07460","title":"Communication and Energy Efficient Wireless Federated Learning with Intrinsic Privacy","created":"2023-04-15","cited_by_count":5,"area":null},{"id":"2306.10982","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":"2306.00675","title":"RHFedMTL: Resource-Aware Hierarchical Federated Multi-Task Learning","created":"2023-06-01","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":"2310.10665","title":"Privacy Preservation in Artificial Intelligence and Extended Reality (AI-XR) Metaverses: A Survey","created":"2023-09-19","cited_by_count":3,"area":null},{"id":"2101.04163","title":"On the Practicality of Differential Privacy in Federated Learning by Tuning Iteration Times","created":"2021-01-11","cited_by_count":2,"area":null},{"id":"2105.08671","title":"DID-eFed: Facilitating Federated Learning as a Service with Decentralized Identities","created":"2021-05-18","cited_by_count":2,"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":"2405.05962","title":"Age Aware Scheduling for Differentially-Private Federated Learning","created":"2024-05-09","cited_by_count":2,"area":null},{"id":"2512.20814","title":"FedMPDD: Communication-Efficient Federated Learning with Privacy Preservation Attributes via Projected Directional Derivative","created":"2025-12-23","cited_by_count":2,"area":null},{"id":"2107.01895","title":"Optimizing the Numbers of Queries and Replies in Federated Learning with Differential Privacy","created":"2021-07-05","cited_by_count":1,"area":null},{"id":"2109.06579","title":"Bayesian AirComp with Sign-Alignment Precoding for Wireless Federated Learning","created":"2021-09-14","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":"2309.09253","title":"User Assignment and Resource Allocation for Hierarchical Federated Learning over Wireless Networks","created":"2023-09-17","cited_by_count":1,"area":null},{"id":"2310.06341","title":"Federated Learning with Reduced Information Leakage and Computation","created":"2023-10-10","cited_by_count":1,"area":null},{"id":"2312.16554","title":"A Theoretical Analysis of Efficiency Constrained Utility-Privacy Bi-Objective Optimization in Federated Learning","created":"2023-12-27","cited_by_count":1,"area":null},{"id":"2410.19917","title":"Collaborative Inference over Wireless Channels with Feature Differential Privacy","created":"2024-10-25","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":"2106.07033","title":"Understanding the Interplay between Privacy and Robustness in Federated Learning","created":"2021-06-13","cited_by_count":0,"area":null},{"id":"2403.16542","title":"Differentially Private Online Federated Learning with Correlated Noise","created":"2024-03-25","cited_by_count":0,"area":null},{"id":"2410.19548","title":"Privacy-Preserving Federated Learning via Dataset Distillation","created":"2024-10-25","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":"2512.23235","title":"FairGFL: Privacy-Preserving Fairness-Aware Federated Learning with Overlapping Subgraphs","created":"2025-12-29","cited_by_count":0,"area":null},{"id":"2604.07125","title":"Scalable and Private Federated Learning Using Distributed Differential Privacy and Secure Aggregation","created":"2026-04-08","cited_by_count":0,"area":null}],"next_cursor":null}