ملف الباحث

Gustavo de Veciana

ورقة واحدة في مجموعة PaperMetrix

المنشورات

أوراق هذا المؤلف

  1. Network Adaptive Federated Learning: Congestion and Lossy Compression

    2023 · arXiv (Cornell University)

    In order to achieve the dual goals of privacy and learning across distributed data, Federated Learning (FL) systems rely on frequent exchanges of large files (model updates) between a set of clients and the server. …