An Adaptive Model Averaging Procedure for Federated Learning (AdaFed)

Author:

Giuseppi Alessandro,Torre Lucrezia Della,Menegatti Danilo,Priscoli Francesco Delli,Pietrabissa Antonio,Poli Cecilia

Publisher

Engineering and Technology Publishing

Subject

Artificial Intelligence,Computer Networks and Communications,Computer Science Applications,Information Systems,Software

Cited by 13 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. A Non-centralized Federated Learning Architecture to Obtain Accurate Privacy Preserving Results;Proceedings of the 2024 10th International Conference on Computing and Artificial Intelligence;2024-04-26

2. Improved Privacy-Preserving Aggregation for Federated Learning;2024 9th International Conference on Computer and Communication Systems (ICCCS);2024-04-19

3. VI Trajectory Generalization Across Smart Meter Edge Clients using Federated Learning;2024 16th International Conference on Computer and Automation Engineering (ICCAE);2024-03-14

4. FedCVD: Towards a Scalable, Privacy-Preserving Federated Learning Model for Cardiovascular Diseases Prediction;2024 The 8th International Conference on Machine Learning and Soft Computing;2024-01-26

5. A Dynamic Negative Log-Likelihood Optimization Method for Device Selection in Federated Learning with Over-The-Air Computation;2023 9th International Conference on Computer and Communications (ICCC);2023-12-08

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