activity
20182020
most citedDistCache: Provable Load Balancing for Large-Scale Storage Systems with Distributed Caching

19 citations · 28 across the 3 of their papers we have counts for

collaborators

6 papers

cs.LG2020

FetchSGD: Communication-Efficient Federated Learning with Sketching

Daniel Rothchild, Ashwinee Panda, Enayat Ullah +5

Existing approaches to federated learning suffer from a communication bottleneck as well as convergence issues due to sparse client participation. In this paper we introduce a nove…

cs.DC20194 cited

Harmonia: Near-Linear Scalability for Replicated Storage with In-Network Conflict Detection

Hang Zhu, Zhihao Bai, Jialin Li +4

Distributed storage employs replication to mask failures and improve availability. However, these systems typically exhibit a hard tradeoff between consistency and performance. Ens…

cs.LG2019

Communication-efficient distributed SGD with Sketching

Nikita Ivkin, Daniel Rothchild, Enayat Ullah +3

Large-scale distributed training of neural networks is often limited by network bandwidth, wherein the communication time overwhelms the local computation time. Motivated by the su…

cs.NI20195 cited

Neural Packet Classification

Eric Liang, Hang Zhu, Xin Jin +1

Packet classification is a fundamental problem in computer networking. This problem exposes a hard tradeoff between the computation and state complexity, which makes it particularl…

cs.DC201919 cited

DistCache: Provable Load Balancing for Large-Scale Storage Systems with Distributed Caching

Zaoxing Liu, Zhihao Bai, Zhenming Liu +5

Load balancing is critical for distributed storage to meet strict service-level objectives (SLOs). It has been shown that a fast cache can guarantee load balancing for a clustered…

cs.DC2018

NetChain: Scale-Free Sub-RTT Coordination (Extended Version)

Xin Jin, Xiaozhou Li, Haoyu Zhang +5

Coordination services are a fundamental building block of modern cloud systems, providing critical functionalities like configuration management and distributed locking. The major…