6 citations · 19 across the 16 of their papers we have counts for
Showing 2022Show all
3 papers · 1 filter
cs.LG2022★ 2 cited
GlueFL: Reconciling Client Sampling and Model Masking for Bandwidth Efficient Federated Learning
Shiqi He, Qifan Yan, Feijie Wu +3
Federated learning (FL) is an effective technique to directly involve edge devices in machine learning training while preserving client privacy. However, the substantial communicat…
cs.DC2022★ 3 cited
Scaling Blockchain Consensus via a Robust Shared Mempool
Fangyu Gai, Jianyu Niu, Ivan Beschastnikh +2
There is a resurgence of interest in Byzantine fault-tolerant (BFT) systems due to blockchains. However, leader-based BFT consensus protocols used by permissioned blockchains have…
cs.DC2022
Gridiron: A Technique for Augmenting Cloud Workloads with Network Bandwidth Requirements
Nodir Kodirov, Shane Bergsma, Syed M. Iqbal +3
Cloud applications use more than just server resources, they also require networking resources. We propose a new technique to model network bandwidth demand of networked cloud appl…