14 citations · 37 across the 8 of their papers we have counts for
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cs.LG2023★ 2 cited
Straggler-resilient Federated Learning: Tackling Computation Heterogeneity with Layer-wise Partial Model Training in Mobile Edge Network
Hongda Wu, Ping Wang, C V Aswartha Narayana
Federated Learning (FL) enables many resource-limited devices to train a model collaboratively without data sharing. However, many existing works focus on model-homogeneous FL, whe…
cs.IT2023★ 1 cited
Joint Antenna Selection and Beamforming for Massive MIMO-enabled Over-the-Air Federated Learning
Saba Asaad, Hina Tabassum, Chongjun Ouyang +1
Over-the-air federated learning (OTA-FL) is an emerging technique to reduce the computation and communication overload at the PS caused by the orthogonal transmissions of the model…