2 citations · 6 across the 9 of their papers we have counts for
Showing cs.DCShow all
2 papers · 1 filter
cs.DC2024
Empowering Federated Learning with Implicit Gossiping: Mitigating Connection Unreliability Amidst Unknown and Arbitrary Dynamics
Ming Xiang, Stratis Ioannidis, Edmund Yeh +2
Federated learning is a popular distributed learning approach for training a machine learning model without disclosing raw data. It consists of a parameter server and a possibly la…
cs.DC2014★ 1 cited
Reaching Approximate Byzantine Consensus with Multi-hop Communication
Lili Su, Nitin Vaidya
We address the problem of reaching consensus in the presence of Byzantine faults. In particular, we are interested in investigating the impact of messages relay on the network conn…