6 citations · 23 across the 13 of their papers we have counts for
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cs.LG2023
LEFL: Low Entropy Client Sampling in Federated Learning
Waqwoya Abebe, Pablo Munoz, Ali Jannesari
Federated learning (FL) is a machine learning paradigm where multiple clients collaborate to optimize a single global model using their private data. The global model is maintained…
cs.LG2023★ 1 cited
Bridging the Gap Between Foundation Models and Heterogeneous Federated Learning
Sixing Yu, J. Pablo Muñoz, Ali Jannesari
Federated learning (FL) offers privacy-preserving decentralized machine learning, optimizing models at edge clients without sharing private data. Simultaneously, foundation models…