654 citations · 1.9k across the 149 of their papers we have counts for
3 papers · 2 filters
Deep Internal Learning: Deep Learning from a Single Input
Tom Tirer, Raja Giryes, Se Young Chun +1
Deep learning, in general, focuses on training a neural network from large labeled datasets. Yet, in many cases there is value in training a network just from the input at hand. Th…
Adaptive Model Pruning and Personalization for Federated Learning over Wireless Networks
Xiaonan Liu, Tharmalingam Ratnarajah, Mathini Sellathurai +1
Federated learning (FL) enables distributed learning across edge devices while protecting data privacy. However, the learning accuracy decreases due to the heterogeneity of devices…
Spectrum Breathing: Protecting Over-the-Air Federated Learning Against Interference
Zhanwei Wang, Kaibin Huang, Yonina C. Eldar
Federated Learning (FL) is a widely embraced paradigm for distilling artificial intelligence from distributed mobile data. However, the deployment of FL in mobile networks can be c…