{"total":20,"rows":[{"id":"2210.04505","title":"A Survey on Heterogeneous Federated Learning","created":"2022-10-10","cited_by_count":42,"area":null},{"id":"2111.08211","title":"FedCG: Leverage Conditional GAN for Protecting Privacy and Maintaining Competitive Performance in Federated Learning","created":"2021-11-16","cited_by_count":39,"area":null},{"id":"2206.08330","title":"Compressed-VFL: Communication-Efficient Learning with Vertically Partitioned Data","created":"2022-06-16","cited_by_count":36,"area":null},{"id":"2207.07223","title":"Accelerated Federated Learning with Decoupled Adaptive Optimization","created":"2022-07-14","cited_by_count":23,"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":"2109.12519","title":"AsySQN: Faster Vertical Federated Learning Algorithms with Better Computation Resource Utilization","created":"2021-09-26","cited_by_count":16,"area":null},{"id":"2207.14628","title":"Towards Communication-efficient Vertical Federated Learning Training via Cache-enabled Local Updates","created":"2022-07-29","cited_by_count":15,"area":null},{"id":"2302.10417","title":"FedSDG-FS: Efficient and Secure Feature Selection for Vertical Federated Learning","created":"2023-02-21","cited_by_count":15,"area":null},{"id":"2108.11444","title":"PIVODL: Privacy-preserving vertical federated learning over distributed labels","created":"2021-08-25","cited_by_count":9,"area":null},{"id":"2203.10329","title":"Desirable Companion for Vertical Federated Learning: New Zeroth-Order Gradient Based Algorithm","created":"2022-03-19","cited_by_count":9,"area":null},{"id":"2106.01425","title":"GAL: Gradient Assisted Learning for Decentralized Multi-Organization Collaborations","created":"2021-06-02","cited_by_count":8,"area":null},{"id":"2102.03620","title":"Multi-Tier Federated Learning for Vertically Partitioned Data","created":"2021-02-06","cited_by_count":7,"area":null},{"id":"2301.03553","title":"FedDebug: Systematic Debugging for Federated Learning Applications","created":"2023-01-09","cited_by_count":6,"area":null},{"id":"2307.10318","title":"Eliminating Label Leakage in Tree-Based Vertical Federated Learning","created":"2023-07-19","cited_by_count":6,"area":null},{"id":"2312.11363","title":"Online Vertical Federated Learning for Cooperative Spectrum Sensing","created":"2023-12-18","cited_by_count":6,"area":null},{"id":"2106.05468","title":"Multi-VFL: A Vertical Federated Learning System for Multiple Data and Label Owners","created":"2021-06-10","cited_by_count":5,"area":null},{"id":"2212.00322","title":"Hijack Vertical Federated Learning Models As One Party","created":"2022-12-01","cited_by_count":5,"area":null},{"id":"2306.16077","title":"Secure and Fast Asynchronous Vertical Federated Learning via Cascaded Hybrid Optimization","created":"2023-06-28","cited_by_count":2,"area":null},{"id":"2312.13632","title":"TraceFL: Interpretability-Driven Debugging in Federated Learning via Neuron Provenance","created":"2023-12-21","cited_by_count":1,"area":null},{"id":"2503.08141","title":"Scaling Probabilistic Circuits via Data Partitioning","created":"2025-03-11","cited_by_count":1,"area":null}],"next_cursor":null}