Mosharaf Chowdhury
Computer Networks and Communications · 2009–2022
A researcher in the Science corpus: 18 papers; trusts 76 researchers and is trusted by 39 researchers here, as inferred from the citation graph.
Subfields
- Computer Networks and Communications — 161 citations into it; #1,114 of 9,886 by trust here, #1,098 by citations
- Information Systems — 98 citations into it; #5,162 of 8,771 by trust here, #3,315 by citations
- Artificial Intelligence — 86 citations into it; #24,330 of 35,345 by trust here, #27,551 by citations
- Computer Vision and Pattern Recognition — 44 citations into it; #11,413 of 21,575 by trust here, #15,955 by citations
- ML Systems & Hardware — 40 citations into it; #167 of 575 by trust here, #120 by citations
- Hardware and Architecture — 35 citations into it; #641 of 1,551 by trust here, #908 by citations
- Federated & Distributed Learning — 26 citations into it
- Optimization & Training — 24 citations into it
Whom Mosharaf Chowdhury trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Larry L. Peterson
- Matei A. Zaharia
- Ion Stoica
- Jonathan S. Turner
- Muthu Dayalan
- Albert G. Greenberg
- D. Andersen
- J. Binding
- Mohammad Alizadeh
- N. Feamster
Who trusts Mosharaf Chowdhury overall
- Ion Stoica
- Raouf Boutaba
- Andreas Fischer
- Md. Faizul Bari
- Yong Li
- Wanqing Guan
- Ihab F. Ilyas
- Chengchao Liang
- Kay Ousterhout
- Jakub Konecný
Papers from Mosharaf Chowdhury's perspective
Ordered by how strongly the researchers Mosharaf Chowdhury trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Going deeper with convolutions
- Learning Multiple Layers of Features from Tiny Images
Their papers
- Network virtualization: state of the art and research challenges (2009) — 902 citations
- Virtual Network Embedding with Coordinated Node and Link Mapping (2009) — 877 citations
- ViNEYard: Virtual Network Embedding Algorithms With Coordinated Node and Link Mapping (2012) — 811 citations
- FedScale: Benchmarking Model and System Performance of Federated Learning at Scale (2021) — 302 citations
- TPP: Transparent Page Placement for CXL-Enabled Tiered-Memory (2022) — 331 citations
- FedScale: Benchmarking Model and System Performance of Federated Learning (2021) — 79 citations
- Fine-Grained GPU Sharing Primitives for Deep Learning Applications (2020) — 59 citations
- Salus: Fine-Grained GPU Sharing Primitives for Deep Learning Applications (2019) — 95 citations
- Tiresias: A GPU Cluster Manager for Distributed Deep Learning (2019) — 457 citations
- Efficient Memory Disaggregation with Infiniswap (2017) — 404 citations
- Efficient Coflow Scheduling Without Prior Knowledge (2015) — 335 citations
- Efficient coflow scheduling with Varys (2014) — 484 citations
- Fast and Interactive Analytics over Hadoop Data with Spark (2012) — 185 citations
- Coflow: a networking abstraction for cluster applications (2012) — 369 citations
- FairCloud: sharing the network in cloud computing (2012) — 436 citations
- Resilient Distributed Datasets: A Fault-Tolerant Abstraction for In-Memory Cluster Computing (2012) — 4,836 citations
- Spark: Cluster Computing with Working Sets (2010) — 5,012 citations
- A survey of network virtualization (2010) — 1,287 citations