{"total":48,"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":"2107.10996","title":"Communication Efficiency in Federated Learning: Achievements and Challenges","created":"2021-07-23","cited_by_count":40,"area":null},{"id":"2106.09397","title":"Quantized Federated Learning under Transmission Delay and Outage Constraints","created":"2021-06-17","cited_by_count":37,"area":null},{"id":"2208.03392","title":"Federated Learning for Medical Applications: A Taxonomy, Current Trends, Challenges, and Future Research Directions","created":"2022-08-05","cited_by_count":35,"area":null},{"id":"2301.02982","title":"Why Batch Normalization Damage Federated Learning on Non-IID Data?","created":"2023-01-08","cited_by_count":29,"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":"2303.10695","title":"On the Convergence of Decentralized Federated Learning Under Imperfect Information Sharing","created":"2023-03-19","cited_by_count":16,"area":null},{"id":"2203.05878","title":"Wireless Quantized Federated Learning: A Joint Computation and Communication Design","created":"2022-03-11","cited_by_count":15,"area":null},{"id":"2207.09387","title":"Green, Quantized Federated Learning over Wireless Networks: An Energy-Efficient Design","created":"2022-07-19","cited_by_count":15,"area":null},{"id":"2111.07911","title":"On the Tradeoff between Energy, Precision, and Accuracy in Federated Quantized Neural Networks","created":"2021-11-15","cited_by_count":10,"area":null},{"id":"2110.14937","title":"Computational Intelligence and Deep Learning for Next-Generation Edge-Enabled Industrial IoT","created":"2021-10-28","cited_by_count":9,"area":null},{"id":"2101.02198","title":"Federated Learning over Noisy Channels: Convergence Analysis and Design Examples","created":"2021-01-06","cited_by_count":8,"area":null},{"id":"2111.14008","title":"Federated Gaussian Process: Convergence, Automatic Personalization and Multi-fidelity Modeling","created":"2021-11-28","cited_by_count":8,"area":null},{"id":"2303.06530","title":"Making Batch Normalization Great in Federated Deep Learning","created":"2023-03-12","cited_by_count":8,"area":null},{"id":"2301.08869","title":"A Communication-Efficient Adaptive Algorithm for Federated Learning under Cumulative Regret","created":"2023-01-21","cited_by_count":7,"area":null},{"id":"2107.02755","title":"FedFog: Network-Aware Optimization of Federated Learning over Wireless Fog-Cloud Systems","created":"2021-07-04","cited_by_count":6,"area":null},{"id":"2405.12046","title":"Energy-Efficient Federated Edge Learning with Streaming Data: A Lyapunov Optimization Approach","created":"2024-05-20","cited_by_count":6,"area":null},{"id":"2409.12371","title":"Communication-Efficient Federated Low-Rank Update Algorithm and its Connection to Implicit Regularization","created":"2024-09-19","cited_by_count":6,"area":null},{"id":"2104.06990","title":"Resource Rationing for Wireless Federated Learning: Concept, Benefits, and Challenges","created":"2021-04-14","cited_by_count":4,"area":null},{"id":"2307.07406","title":"Improved Convergence Analysis and SNR Control Strategies for Federated Learning in the Presence of Noise","created":"2023-07-14","cited_by_count":4,"area":null},{"id":"2204.07767","title":"Towards cost-effective and resource-aware aggregation at Edge for Federated Learning","created":"2022-04-16","cited_by_count":3,"area":null},{"id":"2304.04164","title":"Gradient Sparsification for Efficient Wireless Federated Learning with Differential Privacy","created":"2023-04-09","cited_by_count":3,"area":null},{"id":"2407.13703","title":"Energy-Efficient Channel Decoding for Wireless Federated Learning: Convergence Analysis and Adaptive Design","created":"2024-06-26","cited_by_count":3,"area":null},{"id":"2507.15816","title":"Federated Split Learning with Improved Communication and Storage Efficiency","created":"2025-07-21","cited_by_count":3,"area":null},{"id":"2311.10002","title":"Straggler-resilient Federated Learning: Tackling Computation Heterogeneity with Layer-wise Partial Model Training in Mobile Edge Network","created":"2023-11-16","cited_by_count":2,"area":null},{"id":"2403.13247","title":"FedNMUT -- Federated Noisy Model Update Tracking Convergence Analysis","created":"2024-03-20","cited_by_count":2,"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":"2504.15366","title":"FedFetch: Faster Federated Learning with Adaptive Downstream Prefetching","created":"2025-04-21","cited_by_count":2,"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":"2312.16341","title":"Harnessing the Power of Federated Learning in Federated Contextual Bandits","created":"2023-12-26","cited_by_count":1,"area":null},{"id":"2407.02610","title":"Towards Federated Learning with On-device Training and Communication in 8-bit Floating Point","created":"2024-07-02","cited_by_count":1,"area":null},{"id":"2407.18387","title":"SCALE: Self-regulated Clustered federAted LEarning in a Homogeneous Environment","created":"2024-07-25","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":"2206.11448","title":"Efficient Adaptive Federated Optimization of Federated Learning for IoT","created":"2022-06-23","cited_by_count":0,"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":"2402.09657","title":"Digital versus Analog Transmissions for Federated Learning over Wireless Networks","created":"2024-02-15","cited_by_count":0,"area":null},{"id":"2404.09392","title":"An Autoencoder-Based Constellation Design for AirComp in Wireless Federated Learning","created":"2024-04-15","cited_by_count":0,"area":null},{"id":"2507.09546","title":"Lightweight Federated Learning over Wireless Edge Networks","created":"2025-07-13","cited_by_count":0,"area":null},{"id":"2508.01745","title":"Energy-Efficient Federated Learning for Edge Real-Time Vision via Joint Data, Computation, and Communication Design","created":"2025-08-03","cited_by_count":0,"area":null},{"id":"2509.12814","title":"Energy-Efficient Quantized Federated Learning for Resource-constrained IoT devices","created":"2025-09-16","cited_by_count":0,"area":null},{"id":"2601.10705","title":"Distributed Perceptron under Bounded Staleness, Partial Participation, and Noisy Communication","created":"2026-01-15","cited_by_count":0,"area":null},{"id":"2603.10763","title":"Prioritizing Gradient Sign Over Modulus: An Importance-Aware Framework for Wireless Federated Learning","created":"2026-03-11","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":"2607.29659","title":"GQ-FSL: Green Quantized Federated Split Learning Framework for Wireless Edge Networks","created":"2026-07-31","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":"2609.36610","title":"Communication-Efficient Agnostic Federated Learning via Faster Convergence and Compression","created":"2026-09-29","cited_by_count":0,"area":null}],"next_cursor":null}