Suhas N. Diggavi
Artificial Intelligence · 2001–2021
A researcher in the Science corpus: 21 papers; trusts 175 researchers and is trusted by 28 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 423 citations into it; #9,395 of 35,345 by trust here, #5,638 by citations
- Optimization & Training — 227 citations into it; #1,432 of 2,601 by trust here, #924 by citations
- Computer Networks and Communications — 182 citations into it; #2,565 of 9,886 by trust here, #2,136 by citations
- Federated & Distributed Learning — 133 citations into it
- Computational Mechanics — 106 citations into it; #3,689 of 10,001 by trust here, #1,272 by citations
- Electrical and Electronic Engineering — 91 citations into it; #3,480 of 16,539 by trust here, #6,657 by citations
- Computer Vision and Pattern Recognition — 88 citations into it
- ML Systems & Hardware — 78 citations into it; #209 of 575 by trust here, #208 by citations
Whom Suhas N. Diggavi trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- E.J. Candes
- L. Eon Bottou
- Joseph Dean
- Yann LeCun
- Terence Tao
- Jakub Konecný
- Naofal Al-Dhahir
- Alex Krizhevsky
- Geoffrey E. Hinton
- Yurii E. Nesterov
Who trusts Suhas N. Diggavi overall
- Deepesh Data
- Tie Liu
- Bo Li
- Linqi Song
- Shlomo Shamai
- Philip Schniter
- Athina P. Petropulu
- Syed Ali Jafar
- Sai Praneeth Karimireddy
- Ahmed Khaled
Papers from Suhas N. Diggavi's perspective
Ordered by how strongly the researchers Suhas N. Diggavi 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
- Gradient-based learning applied to document recognition
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- Long Short-Term Memory
- Learning Multiple Layers of Features from Tiny Images
- Attention is All you Need (Neural Information Processing Systems)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
Their papers
- Great expectations: the value of spatial diversity in wireless networks (2004) — 330 citations
- The worst additive noise under a covariance constraint (2001) — 385 citations
- Intercarrier interference in MIMO OFDM (2002) — 440 citations
- Wireless Network Information Flow: A Deterministic Approach (2009) — 883 citations
- Shuffled Model of Federated Learning: Privacy, Communication and Accuracy Trade-offs (2020) — 26 citations
- Byzantine-Resilient SGD in High Dimensions on Heterogeneous Data (2020) — 49 citations
- Data Encoding for Byzantine-Resilient Distributed Gradient Descent (2018) — 20 citations
- Data Encoding for Byzantine-Resilient Distributed Optimization (2019) — 40 citations
- Byzantine-Resilient High-Dimensional SGD with Local Iterations on Heterogeneous Data (2020) — 49 citations
- A Field Guide to Federated Optimization (2021) — 487 citations
- SQuARM-SGD: Communication-Efficient Momentum SGD for Decentralized Optimization (2020) — 69 citations
- Byzantine-Tolerant Distributed Coordinate Descent (2019) — 8 citations
- SPARQ-SGD: Event-Triggered and Compressed Communication in Decentralized Stochastic Optimization (2019) — 24 citations
- Qsparse-Local-SGD: Distributed SGD With Quantization, Sparsification, and Local Computations (2019) — 455 citations
- Data Encoding Methods for Byzantine-Resilient Distributed Optimization (2019) — 18 citations
- Will Distributed Computing Revolutionize Peace? The Emergence of Battlefield IoT (2018) — 34 citations
- Redundancy Techniques for Straggler Mitigation in Distributed Optimization and Learning (2018) — 55 citations
- Straggler Mitigation in Distributed Optimization Through Data Encoding (2017) — 155 citations
- Encoded distributed optimization (2017) — 53 citations
- Hierarchical coded caching (2014) — 352 citations