{"total":14,"rows":[{"id":"2309.00363","title":"FederatedScope-LLM: A Comprehensive Package for Fine-tuning Large Language Models in Federated Learning","created":"2023-09-01","cited_by_count":149,"area":null},{"id":"2205.14309","title":"Federated Neural Bandits","created":"2022-05-28","cited_by_count":17,"area":null},{"id":"2304.14766","title":"Hyperparameter Optimization through Neural Network Partitioning","created":"2023-04-28","cited_by_count":8,"area":null},{"id":"2310.03156","title":"FedHyper: A Universal and Robust Learning Rate Scheduler for Federated Learning with Hypergradient Descent","created":"2023-10-04","cited_by_count":8,"area":null},{"id":"2212.08930","title":"On Noisy Evaluation in Federated Hyperparameter Tuning","created":"2022-12-17","cited_by_count":7,"area":null},{"id":"2206.03966","title":"FedHPO-B: A Benchmark Suite for Federated Hyperparameter Optimization","created":"2022-06-08","cited_by_count":6,"area":null},{"id":"2206.12342","title":"FEATHERS: Federated Architecture and Hyperparameter Search","created":"2022-06-24","cited_by_count":3,"area":null},{"id":"2305.01154","title":"FedAVO: Improving Communication Efficiency in Federated Learning with African Vultures Optimizer","created":"2023-05-02","cited_by_count":2,"area":null},{"id":"2211.13656","title":"Federated Learning Hyper-Parameter Tuning from a System Perspective","created":"2022-11-24","cited_by_count":1,"area":null},{"id":"2308.08634","title":"FedPop: Federated Population-based Hyperparameter Tuning","created":"2023-08-16","cited_by_count":1,"area":null},{"id":"2310.11093","title":"SODA: Robust Training of Test-Time Data Adaptors","created":"2023-10-17","cited_by_count":1,"area":null},{"id":"2410.08665","title":"DistDD: Distributed Data Distillation Aggregation through Gradient Matching","created":"2024-10-11","cited_by_count":1,"area":null},{"id":"2411.12244","title":"Hyper-parameter Optimization for Federated Learning with Step-wise Adaptive Mechanism","created":"2024-11-19","cited_by_count":1,"area":null},{"id":"2301.05131","title":"Toward Theoretical Guidance for Two Common Questions in Practical Cross-Validation based Hyperparameter Selection","created":"2023-01-12","cited_by_count":0,"area":null}],"next_cursor":null}