{"total":24,"rows":[{"id":"2206.05091","title":"Muffliato: Peer-to-Peer Privacy Amplification for Decentralized Optimization and Averaging","created":"2022-06-10","cited_by_count":27,"area":null},{"id":"2205.03884","title":"Decentralized Stochastic Optimization with Inherent Privacy Protection","created":"2022-05-08","cited_by_count":11,"area":null},{"id":"2212.07534","title":"Decentralized Nonconvex Optimization with Guaranteed Privacy and Accuracy","created":"2022-12-14","cited_by_count":10,"area":null},{"id":"2402.07471","title":"Differentially Private Decentralized Learning with Random Walks","created":"2024-02-12","cited_by_count":8,"area":null},{"id":"2402.10001","title":"Privacy Attacks in Decentralized Learning","created":"2024-02-15","cited_by_count":8,"area":null},{"id":"2208.04845","title":"Quantization enabled Privacy Protection in Decentralized Stochastic Optimization","created":"2022-08-07","cited_by_count":7,"area":null},{"id":"2105.14416","title":"Communication efficient privacy-preserving distributed optimization using adaptive differential quantization","created":"2021-05-30","cited_by_count":6,"area":null},{"id":"2203.09755","title":"Distributed Sketching for Randomized Optimization: Exact Characterization, Concentration and Lower Bounds","created":"2022-03-18","cited_by_count":6,"area":null},{"id":"2210.01176","title":"PersA-FL: Personalized Asynchronous Federated Learning","created":"2022-10-03","cited_by_count":5,"area":null},{"id":"2206.07944","title":"Distributed Online Private Learning of Convex Nondecomposable Objectives","created":"2022-06-16","cited_by_count":4,"area":null},{"id":"2408.08628","title":"A survey on secure decentralized optimization and learning","created":"2024-08-16","cited_by_count":4,"area":null},{"id":"2503.07505","title":"From Centralized to Decentralized Federated Learning: Theoretical Insights, Privacy Preservation, and Robustness Challenges","created":"2025-03-10","cited_by_count":4,"area":null},{"id":"2310.16105","title":"Locally Differentially Private Gradient Tracking for Distributed Online Learning over Directed Graphs","created":"2023-10-24","cited_by_count":2,"area":null},{"id":"2403.00157","title":"Privacy-Preserving Distributed Optimization and Learning","created":"2024-02-29","cited_by_count":2,"area":null},{"id":"2505.19969","title":"Differential Privacy Analysis of Decentralized Gossip Averaging under Varying Threat Models","created":"2025-05-26","cited_by_count":2,"area":null},{"id":"2508.11848","title":"Adversarial Robustness in Distributed Quantum Machine Learning","created":"2025-08-16","cited_by_count":2,"area":null},{"id":"2510.17480","title":"Unified Privacy Guarantees for Decentralized Learning via Matrix Factorization","created":"2025-10-20","cited_by_count":2,"area":null},{"id":"2306.14094","title":"Locally Differentially Private Distributed Online Learning with Guaranteed Optimality","created":"2023-06-25","cited_by_count":1,"area":null},{"id":"2501.03222","title":"Characterizing the Accuracy-Communication-Privacy Trade-off in Distributed Stochastic Convex Optimization","created":"2025-01-06","cited_by_count":1,"area":null},{"id":"2306.14012","title":"Private Networked Federated Learning for Nonsmooth Objectives","created":"2023-06-24","cited_by_count":0,"area":null},{"id":"2310.09370","title":"Near-optimal Differentially Private Client Selection in Federated Settings","created":"2023-10-13","cited_by_count":0,"area":null},{"id":"2503.09538","title":"Differentially Private Equilibrium Finding in Polymatrix Games","created":"2025-03-12","cited_by_count":0,"area":null},{"id":"2506.14911","title":"Event-Driven Online Vertical Federated Learning","created":"2025-06-17","cited_by_count":0,"area":null},{"id":"2509.18134","title":"A Weighted Gradient Tracking Privacy-Preserving Method for Distributed Optimization","created":"2025-09-14","cited_by_count":0,"area":null}],"next_cursor":null}