{"total":29,"rows":[{"id":"2102.08503","title":"Federated Evaluation and Tuning for On-Device Personalization: System Design & Applications","created":"2021-02-16","cited_by_count":85,"area":null},{"id":"2203.15696","title":"Auditing Privacy Defenses in Federated Learning via Generative Gradient Leakage","created":"2022-03-29","cited_by_count":72,"area":null},{"id":"2111.07494","title":"Federated Learning for Internet of Things: Applications, Challenges, and Opportunities","created":"2021-11-15","cited_by_count":50,"area":null},{"id":"2109.08604","title":"Enforcing fairness in private federated learning via the modified method of differential multipliers","created":"2021-09-17","cited_by_count":38,"area":null},{"id":"2104.14297","title":"End-to-End Speech Recognition from Federated Acoustic Models","created":"2021-04-29","cited_by_count":30,"area":null},{"id":"2308.14363","title":"Mobile Foundation Model as Firmware","created":"2023-08-28","cited_by_count":25,"area":null},{"id":"2207.08869","title":"FLAIR: Federated Learning Annotated Image Repository","created":"2022-07-18","cited_by_count":22,"area":null},{"id":"2110.03450","title":"Efficient and Private Federated Learning with Partially Trainable Networks","created":"2021-10-06","cited_by_count":13,"area":null},{"id":"2212.09006","title":"A Review of Speech-centric Trustworthy Machine Learning: Privacy, Safety, and Fairness","created":"2022-12-18","cited_by_count":13,"area":null},{"id":"2104.08776","title":"Federated Learning of User Verification Models Without Sharing Embeddings","created":"2021-04-18","cited_by_count":11,"area":null},{"id":"2111.03777","title":"Privacy attacks for automatic speech recognition acoustic models in a federated learning framework","created":"2021-11-06","cited_by_count":10,"area":null},{"id":"2204.02804","title":"Federated Self-supervised Speech Representations: Are We There Yet?","created":"2022-04-06","cited_by_count":10,"area":null},{"id":"2204.06322","title":"Production federated keyword spotting via distillation, filtering, and joint federated-centralized training","created":"2022-04-11","cited_by_count":9,"area":null},{"id":"2301.09732","title":"Backdoor Attacks in Peer-to-Peer Federated Learning","created":"2023-01-23","cited_by_count":9,"area":null},{"id":"2404.06430","title":"pfl-research: simulation framework for accelerating research in Private Federated Learning","created":"2024-04-09","cited_by_count":8,"area":null},{"id":"2302.10790","title":"Federated Learning for ASR based on Wav2vec 2.0","created":"2023-02-20","cited_by_count":7,"area":null},{"id":"2307.15017","title":"Samplable Anonymous Aggregation for Private Federated Data Analysis","created":"2023-07-27","cited_by_count":6,"area":null},{"id":"2401.03562","title":"GLOCALFAIR: Jointly Improving Global and Local Group Fairness in Federated Learning","created":"2024-01-07","cited_by_count":5,"area":null},{"id":"2207.09078","title":"ILASR: Privacy-Preserving Incremental Learning for Automatic Speech Recognition at Production Scale","created":"2022-07-19","cited_by_count":4,"area":null},{"id":"2206.12183","title":"\"You Can't Fix What You Can't Measure\": Privately Measuring Demographic Performance Disparities in Federated Learning","created":"2022-06-24","cited_by_count":3,"area":null},{"id":"2406.02416","title":"Improved Modelling of Federated Datasets using Mixtures-of-Dirichlet-Multinomials","created":"2024-06-04","cited_by_count":3,"area":null},{"id":"2203.17031","title":"Adversarial Speaker Distillation for Countermeasure Model on Automatic Speaker Verification","created":"2022-03-31","cited_by_count":2,"area":null},{"id":"2502.01649","title":"Safeguarding Privacy in Edge Speech Understanding with Tiny Foundation Models","created":"2025-01-29","cited_by_count":2,"area":null},{"id":"2302.10441","title":"Speech Privacy Leakage from Shared Gradients in Distributed Learning","created":"2023-02-21","cited_by_count":1,"area":null},{"id":"2506.11069","title":"Regularized Federated Learning for Privacy-Preserving Dysarthric and Elderly Speech Recognition","created":"2025-06-02","cited_by_count":1,"area":null},{"id":"2308.02013","title":"Federated Representation Learning for Automatic Speech Recognition","created":"2023-08-03","cited_by_count":0,"area":null},{"id":"2505.19823","title":"LAPA-based Dynamic Privacy Optimization for Wireless Federated Learning in Heterogeneous Environments","created":"2025-05-26","cited_by_count":0,"area":null},{"id":"2602.10765","title":"Collaborative Threshold Watermarking","created":"2026-02-11","cited_by_count":0,"area":null},{"id":"2606.13253","title":"Towards Personalized Federated Learning for Dysarthric Speech Recognition","created":"2026-06-11","cited_by_count":0,"area":null}],"next_cursor":null}