{"total":32,"rows":[{"id":"2104.11375","title":"Decentralized Federated Averaging","created":"2021-04-23","cited_by_count":114,"area":null},{"id":"2306.01603","title":"Decentralized Federated Learning: A Survey and Perspective","created":"2023-06-02","cited_by_count":86,"area":null},{"id":"2101.12704","title":"Federated Learning over Wireless Device-to-Device Networks: Algorithms and Convergence Analysis","created":"2021-01-29","cited_by_count":51,"area":null},{"id":"2103.10481","title":"Semi-Decentralized Federated Learning with Cooperative D2D Local Model Aggregations","created":"2021-03-18","cited_by_count":51,"area":null},{"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":"2205.08443","title":"On the (In)security of Peer-to-Peer Decentralized Machine Learning","created":"2022-05-17","cited_by_count":23,"area":null},{"id":"2302.02573","title":"Topology-aware Federated Learning in Edge Computing: A Comprehensive Survey","created":"2023-02-06","cited_by_count":23,"area":null},{"id":"2106.08011","title":"Over-the-Air Decentralized Federated Learning","created":"2021-06-15","cited_by_count":18,"area":null},{"id":"2202.02947","title":"Parallel Successive Learning for Dynamic Distributed Model Training over Heterogeneous Wireless Networks","created":"2022-02-07","cited_by_count":18,"area":null},{"id":"2207.11812","title":"Federated Graph Machine Learning: A Survey of Concepts, Techniques, and Applications","created":"2022-07-24","cited_by_count":14,"area":null},{"id":"2202.00955","title":"Asynchronous Decentralized Learning over Unreliable Wireless Networks","created":"2022-02-02","cited_by_count":13,"area":null},{"id":"2203.09670","title":"Latency Optimization for Blockchain-Empowered Federated Learning in Multi-Server Edge Computing","created":"2022-03-18","cited_by_count":13,"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":"2103.10346","title":"A Framework for Energy and Carbon Footprint Analysis of Distributed and Federated Edge Learning","created":"2021-03-18","cited_by_count":8,"area":null},{"id":"2205.14905","title":"Confederated Learning: Federated Learning with Decentralized Edge Servers","created":"2022-05-30","cited_by_count":7,"area":null},{"id":"2507.16541","title":"A Comprehensive Data-centric Overview of Federated Graph Learning","created":"2025-07-22","cited_by_count":7,"area":null},{"id":"2206.04742","title":"Accelerating Asynchronous Federated Learning Convergence via Opportunistic Mobile Relaying","created":"2022-06-09","cited_by_count":6,"area":null},{"id":"2303.08423","title":"Communication-Efficient Design for Quantized Decentralized Federated Learning","created":"2023-03-15","cited_by_count":6,"area":null},{"id":"2103.13026","title":"The Gradient Convergence Bound of Federated Multi-Agent Reinforcement Learning with Efficient Communication","created":"2021-03-24","cited_by_count":5,"area":null},{"id":"2204.03326","title":"Enabling All In-Edge Deep Learning: A Literature Review","created":"2022-04-07","cited_by_count":4,"area":null},{"id":"2501.09320","title":"Cooperative Decentralized Backdoor Attacks on Vertical Federated Learning","created":"2025-01-16","cited_by_count":3,"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":"2203.01008","title":"UAV-Aided Decentralized Learning over Mesh Networks","created":"2022-03-02","cited_by_count":1,"area":null},{"id":"2209.02166","title":"To Compute or not to Compute? Adaptive Smart Sensing in Resource-Constrained Edge Computing","created":"2022-09-05","cited_by_count":1,"area":null},{"id":"2303.03602","title":"Data Games: A Game-Theoretic Approach to Swarm Robotic Data Collection","created":"2023-03-07","cited_by_count":1,"area":null},{"id":"2309.16584","title":"Collaborative Distributed Machine Learning","created":"2023-09-28","cited_by_count":1,"area":null},{"id":"2410.22680","title":"Byzantine-Robust Federated Learning: An Overview With Focus on Developing Sybil-based Attacks to Backdoor Augmented Secure Aggregation Protocols","created":"2024-10-30","cited_by_count":1,"area":null},{"id":"2109.03350","title":"Federated Learning Beyond the Star: Local D2D Model Consensus with Global Cluster Sampling","created":"2021-09-07","cited_by_count":0,"area":null},{"id":"2310.07471","title":"The Implications of Decentralization in Blockchained Federated Learning: Evaluating the Impact of Model Staleness and Inconsistencies","created":"2023-10-11","cited_by_count":0,"area":null},{"id":"2603.15188","title":"Joint Routing and Model Pruning for Decentralized Federated Learning in Bandwidth-Constrained Multi-Hop Wireless Networks","created":"2026-03-16","cited_by_count":0,"area":null},{"id":"2604.09970","title":"LoDAdaC: a unified local training-based decentralized framework with adaptive gradients and compressed communication","created":"2026-04-11","cited_by_count":0,"area":null},{"id":"2609.08476","title":"When Topology Betrays Privacy: Lattice-Based Reconstruction Attacks on Secure Aggregation in Decentralized Federated Learning","created":"2026-09-08","cited_by_count":0,"area":null}],"next_cursor":null}