most citedTowards Causal Federated Learning For Enhanced Robustness and Privacy

3 citations · 3 across the 2 of their papers we have counts for

collaborators

2 papers

cs.LG2021

Gradient Masked Federated Optimization

Irene Tenison, Sreya Francis, Irina Rish

Federated Averaging (FedAVG) has become the most popular federated learning algorithm due to its simplicity and low communication overhead. We use simple examples to show that FedA…

cs.LG2021★ 3 cited

Towards Causal Federated Learning For Enhanced Robustness and Privacy

Sreya Francis, Irene Tenison, Irina Rish

Federated Learning is an emerging privacy-preserving distributed machine learning approach to building a shared model by performing distributed training locally on participating de…