Search Results for author:
Found 3 papers, 0 papers with code
Asynchronous Federated Learning with Incentive Mechanism Based on Contract Theory
To address the challenges posed by the heterogeneity inherent in federated learning (FL) and to attract high-quality clients, various incentive mechanisms have been employed.
Semi-Asynchronous Federated Edge Learning Mechanism via Over-the-air Computation
However, existing FEEL systems with AirComp scheme often employ traditional synchronous aggregation mechanisms for local model aggregation in each global round, which suffer from the stragglers issues.
Auction Based Clustered Federated Learning in Mobile Edge Computing System
In recent years, mobile clients' computing ability and storage capacity have greatly improved, efficiently dealing with some applications locally.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
