About
Contact & Profiles
A5095771097
Research Areas
- Privacy-Preserving Technologies in Data
- Mobile Crowdsensing and Crowdsourcing
- Vehicular Ad Hoc Networks (VANETs)
University of Minnesota System
2024
Federated Learning (FL) has emerged as a powerful approach that enables collaborative distributed model training without the need for data sharing. However, FL grapples with inherent heterogeneity challenges leading to issues such stragglers, dropouts, and performance variations. Selection of clients run an instance is crucial, but existing strategies introduce biases participation do not consider resource efficiency. Communication acceleration solutions proposed increase client also fall...
10.1145/3627703.3650081
article
EN
2024-04-18
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