{"total":21,"rows":[{"id":"2104.14380","title":"PPFL: Privacy-preserving Federated Learning with Trusted Execution Environments","created":"2021-04-29","cited_by_count":93,"area":null},{"id":"2101.05428","title":"Federated Learning: Opportunities and Challenges","created":"2021-01-14","cited_by_count":84,"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":"2105.01798","title":"Pervasive AI for IoT applications: A Survey on Resource-efficient Distributed Artificial Intelligence","created":"2021-05-04","cited_by_count":18,"area":null},{"id":"2210.16656","title":"Auxo: Efficient Federated Learning via Scalable Client Clustering","created":"2022-10-29","cited_by_count":8,"area":null},{"id":"2408.08699","title":"RBLA: Rank-Based-LoRA-Aggregation for Fine-tuning Heterogeneous Models in FLaaS","created":"2024-08-16","cited_by_count":8,"area":null},{"id":"2307.11468","title":"Zero-touch realization of Pervasive Artificial Intelligence-as-a-service in 6G networks","created":"2023-07-21","cited_by_count":7,"area":null},{"id":"2103.09258","title":"The Rise and Fall of Fake News sites: A Traffic Analysis","created":"2021-03-16","cited_by_count":3,"area":null},{"id":"2302.13438","title":"P4L: Privacy Preserving Peer-to-Peer Learning for Infrastructureless Setups","created":"2023-02-26","cited_by_count":3,"area":null},{"id":"2307.02140","title":"Towards Open Federated Learning Platforms: Survey and Vision from Technical and Legal Perspectives","created":"2023-07-05","cited_by_count":3,"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":"2303.01243","title":"Poster: Sponge ML Model Attacks of Mobile Apps","created":"2023-03-01","cited_by_count":2,"area":null},{"id":"2312.14941","title":"Multi-Criteria Client Selection and Scheduling with Fairness Guarantee for Federated Learning Service","created":"2023-12-05","cited_by_count":2,"area":null},{"id":"2202.05877","title":"Fabricated Flips: Poisoning Federated Learning without Data","created":"2022-02-07","cited_by_count":1,"area":null},{"id":"2402.09715","title":"DPBalance: Efficient and Fair Privacy Budget Scheduling for Federated Learning as a Service","created":"2024-02-15","cited_by_count":0,"area":null},{"id":"2407.14154","title":"Where is the Testbed for my Federated Learning Research?","created":"2024-07-19","cited_by_count":0,"area":null},{"id":"2606.07685","title":"Test-Time Adaptive Composition for Machine Learning as a Service (MLaaS) in IoT Environments","created":"2026-06-05","cited_by_count":0,"area":null},{"id":"2607.22805","title":"OrchNAS: Orchestrated Neural Architecture Search Service for Personalised Federated Edge Intelligence","created":"2026-07-24","cited_by_count":0,"area":null},{"id":"2608.14359","title":"Designing Sustainable Federated Learning as a Service using Neural Architecture Search","created":"2026-08-14","cited_by_count":0,"area":null},{"id":"2609.19972","title":"Efficiently Distributed Federated Learning","created":"2026-09-17","cited_by_count":0,"area":null},{"id":"2609.31061","title":"Distributed Learning as a Service: The Developer's Perspective","created":"2026-09-25","cited_by_count":0,"area":null}],"next_cursor":null}