most citedCommunication Optimization in Large Scale Federated Learning using Autoencoder Compressed Weight Updates

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cs.LG2021★ 3 cited

Communication Optimization in Large Scale Federated Learning using Autoencoder Compressed Weight Updates

Srikanth Chandar, Pravin Chandran, Raghavendra Bhat +1

Federated Learning (FL) solves many of this decade's concerns regarding data privacy and computation challenges. FL ensures no data leaves its source as the model is trained at whe…

cs.LG2021

Weight Divergence Driven Divide-and-Conquer Approach for Optimal Federated Learning from non-IID Data

Pravin Chandran, Raghavendra Bhat, Avinash Chakravarthi +1

Federated Learning allows training of data stored in distributed devices without the need for centralizing training data, thereby maintaining data privacy. Addressing the ability t…