Ivor Spence

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All published works
Action Title Year Authors
+ PDF Chat LVS-Net: A Lightweight Vessels Segmentation Network for Retinal Image Analysis 2024 Mehwish Mehmood
Shahzaib Iqbal
Tariq Mahmood Khan
Ivor Spence
Muhammad Fahim
+ PiPar: Pipeline parallelism for collaborative machine learning 2024 Zihan Zhang
Philip Rodgers
Peter Kilpatrick
Ivor Spence
Blesson Varghese
+ PDF Chat EcoFed: Efficient Communication for DNN Partitioning-Based Federated Learning 2024 Di Wu
Rehmat Ullah
Philip Rodgers
Peter Kilpatrick
Ivor Spence
Blesson Varghese
+ PDF Chat Pipar: Pipeline Parallelism for Collaborative Machine Learning 2024 Zihan Zhang
Philip Rodgers
Peter Kilpatrick
Ivor Spence
Blesson Varghese
+ DNNShifter: An efficient DNN pruning system for edge computing 2023 Bailey J. Eccles
Philip Rodgers
Peter Kilpatrick
Ivor Spence
Blesson Varghese
+ PipeLearn: Pipeline Parallelism for Collaborative Machine Learning 2023 Zihan Zhang
Philip Rodgers
Peter Kilpatrick
Ivor Spence
Blesson Varghese
+ EcoFed: Efficient Communication for DNN Partitioning-based Federated Learning 2023 Di Wu
Rehmat Ullah
Philip Rodgers
Peter Kilpatrick
Ivor Spence
Blesson Varghese
+ PDF Chat Dnnshifter: An Efficient Dnn Pruning System for Edge Computing 2023 Bailey J. Eccles
Philip Rodgers
Peter Kilpatrick
Ivor Spence
Blesson Varghese
+ DNNShifter: An Efficient DNN Pruning System for Edge Computing 2023 Bailey J. Eccles
Philip Rodgers
Peter Kilpatrick
Ivor Spence
Blesson Varghese
+ PDF Chat CONTINUER: Maintaining Distributed DNN Services During Edge Failures 2022 Ayesha Abdul Majeed
Peter Kilpatrick
Ivor Spence
Blesson Varghese
+ CONTINUER: Maintaining Distributed DNN Services During Edge Failures 2022 Ayesha Abdul Majeed
Peter Kilpatrick
Ivor Spence
Blesson Varghese
+ PDF Chat NEUKONFIG: Reducing Edge Service Downtime When Repartitioning DNNs 2021 Ayesha Abdul Majeed
Peter Kilpatrick
Ivor Spence
Blesson Varghese
+ PDF Chat The Case for Adaptive Deep Neural Networks in Edge Computing 2021 Francis McNamee
Schahram Dustdar
Peter Kilpatrick
Weisong Shi
Ivor Spence
Blesson Varghese
+ NEUKONFIG: Reducing Edge Service Downtime When Repartitioning DNNs 2021 Ayesha Abdul Majeed
Peter Kilpatrick
Ivor Spence
Blesson Varghese
+ FedFly: Towards Migration in Edge-based Distributed Federated Learning 2021 Rehmat Ullah
Di Wu
Paul Harvey
Peter Kilpatrick
Ivor Spence
Blesson Varghese
+ NEUKONFIG: Reducing Edge Service Downtime When Repartitioning DNNs 2021 Ayesha Abdul Majeed
Peter Kilpatrick
Ivor Spence
Blesson Varghese
+ FedAdapt: Adaptive Offloading for IoT Devices in Federated Learning 2021 Di Wu
Rehmat Ullah
Paul Harvey
Peter Kilpatrick
Ivor Spence
Blesson Varghese
+ A Case For Adaptive Deep Neural Networks in Edge Computing 2020 Francis McNamee
Schahram Dustadar
Peter Kilpatrick
Weisong Shi
Ivor Spence
Blesson Varghese
+ PDF Chat Modelling Fog Offloading Performance 2020 Ayesha Abdul Majeed
Peter Kilpatrick
Ivor Spence
Blesson Varghese
+ Modelling Fog Offloading Performance 2020 Ayesha Abdul Majeed
Peter Kilpatrick
Ivor Spence
Blesson Varghese
+ A Case For Adaptive Deep Neural Networks in Edge Computing 2020 Francis McNamee
Schahram Dustadar
Peter Kilpatrick
Weisong Shi
Ivor Spence
Blesson Varghese
+ Modelling Fog Offloading Performance 2020 Ayesha Abdul Majeed
Peter Kilpatrick
Ivor Spence
Blesson Varghese
+ PDF Chat Performance Estimation of Container-Based Cloud-to-Fog Offloading 2019 Ayesha Abdul Majeed
Peter Kilpatrick
Ivor Spence
Blesson Varghese
+ Performance Estimation of Container-Based Cloud-to-Fog Offloading 2019 Ayesha Abdul Majeed
Peter Kilpatrick
Ivor Spence
Blesson Varghese
+ Performance Estimation of Container-Based Cloud-to-Fog Offloading 2019 Ayesha Abdul Majeed
Peter Kilpatrick
Ivor Spence
Blesson Varghese
+ PDF Chat Methods and metrics for fair server assessment under real‐time financial workloads 2015 Giorgis Georgakoudis
Charles J. Gillan
Ahmed Rabee Sayed
Ivor Spence
Richard Faloon
Dimitrios S. Nikolopoulos
+ PDF Chat Iso-Quality of Service: Fairly Ranking Servers for Real-Time Data Analytics 2015 Giorgis Georgakoudis
Charles J. Gillan
Ahmed Rabee Sayed
Ivor Spence
Richard Faloon
Dimitrios S. Nikolopoulos
+ PDF Chat GPU Acceleration of Partial Differential Equation Solvers 2015 P. Iosifidis
Phil Weir
Panchatcharam Mariappan
Ronan Flanagan
Ivor Spence
Peter Kilpatrick
Joseph F. Fitzsimons
+ Iso-Quality of Service: Fairly Ranking Servers for Real-Time Data Analytics 2015 Giorgis Georgakoudis
Charles J. Gillan
Ahmed Rabee Sayed
Ivor Spence
Richard Faloon
Dimitrios S. Nikolopoulos
+ Methods and Metrics for Fair Server Assessment under Real-Time Financial Workloads 2015 Giorgis Georgakoudis
Charles J. Gillan
Ahmed M. Sayed
Ivor Spence
Richard Faloon
Dimitrios S. Nikolopoulos
+ Iso-Quality of Service: Fairly Ranking Servers for Real-Time Data Analytics 2015 Giorgis Georgakoudis
Charles J. Gillan
Ahmed M. Sayed
Ivor Spence
Richard Faloon
Dimitrios S. Nikolopoulos
+ Methods and Metrics for Fair Server Assessment under Real-Time Financial Workloads 2014 Giorgis Georgakoudis
Charles J. Gillan
Ahmed Rabee Sayed
Ivor Spence
Richard Faloon
Dimitrios S. Nikolopoulos
+ Computing zeros of analytic functions in the complex plane without using derivatives 2006 Charles J. Gillan
Alexander Schuchinsky
Ivor Spence
Common Coauthors
Commonly Cited References
Action Title Year Authors # of times referenced
+ PDF Chat Deep Residual Learning for Image Recognition 2016 Kaiming He
Xiangyu Zhang
Shaoqing Ren
Jian Sun
7
+ PDF Chat Challenges and Opportunities in Edge Computing 2016 Blesson Varghese
Nan Wang
Sakil Barbhuiya
Peter Kilpatrick
Dimitrios S. Nikolopoulos
6
+ Very Deep Convolutional Networks for Large-Scale Image Recognition 2014 Karen Simonyan
Andrew Zisserman
5
+ PDF Chat Resource Management in Fog/Edge Computing: A Survey on Architectures, Infrastructure, and Algorithms 2019 Cheol-Ho Hong
Blesson Varghese
4
+ PDF Chat On Reducing IoT Service Delay via Fog Offloading 2018 Ashkan Yousefpour
Genya Ishigaki
Riti Gour
Jason P. Jue
4
+ PDF Chat Next generation cloud computing: New trends and research directions 2017 Blesson Varghese
Rajkumar Buyya
4
+ PDF Chat Fog Based Computation Offloading for Swarm of Drones 2019 Xiangwang Hou
Zhiyuan Ren
Wenchi Cheng
Chen Chen
Hailin Zhang
4
+ PDF Chat Helios: Heterogeneity-Aware Federated Learning with Dynamically Balanced Collaboration 2021 Zirui Xu
Fuxun Yu
Jinjun Xiong
Xiang Chen
3
+ Split learning for health: Distributed deep learning without sharing raw patient data 2018 Praneeth Vepakomma
Otkrist Gupta
Tristan Swedish
Ramesh Raskar
3
+ PDF Chat Edge Intelligence: Paving the Last Mile of Artificial Intelligence With Edge Computing 2019 Zhi Zhou
Xu Chen
En Li
Liekang Zeng
Ke Luo
Junshan Zhang
3
+ PDF Chat Scission: Performance-driven and Context-aware Cloud-Edge Distribution of Deep Neural Networks 2020 Luke Lockhart
Paul Harvey
Pierre Imai
Peter Willis
Blesson Varghese
3
+ PDF Chat Deep learning in neural networks: An overview 2014 JĂźrgen Schmidhuber
3
+ Distilling the Knowledge in a Neural Network 2015 Geoffrey E. Hinton
Oriol Vinyals
Jay B. Dean
3
+ Very Deep Convolutional Networks for Large-Scale Image Recognition 2014 Karen Simonyan
Andrew Zisserman
3
+ PDF Chat Convergence of Edge Computing and Deep Learning: A Comprehensive Survey 2020 Xiaofei Wang
Yiwen Han
Victor C. M. Leung
Dusit Niyato
Xueqiang Yan
Xu Chen
3
+ PDF Chat MobileNetV2: Inverted Residuals and Linear Bottlenecks 2018 Mark Sandler
Andrew Howard
Menglong Zhu
Andrey Zhmoginov
Liang-Chieh Chen
3
+ Monte Carlo methods for security pricing 1997 Phelim Boyle
Mark Broadie
Paul Glasserman
3
+ PDF Chat ENORM: A Framework For Edge NOde Resource Management 2017 Nan Wang
Blesson Varghese
Michail Matthaiou
Dimitrios S. Nikolopoulos
3
+ MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications 2017 Andrew Howard
Menglong Zhu
Bo Chen
Dmitry Kalenichenko
Weijun Wang
Tobias Weyand
Marco Andreetto
Hartwig Adam
2
+ CoEdge: Cooperative DNN Inference With Adaptive Workload Partitioning Over Heterogeneous Edge Devices 2020 Liekang Zeng
Xu Chen
Zhi Zhou
Lei Yang
Junshan Zhang
2
+ PDF Chat Follow-Me Cloud: When Cloud Services Follow Mobile Users 2016 Tarik Taleb
Adlen Ksentini
Pantelis A. Frangoudis
2
+ PDF Chat EDCompress: Energy-Aware Model Compression for Dataflows 2022 Zhehui Wang
Tao Luo
Rick Siow Mong Goh
Joey Tianyi Zhou
2
+ PDF Chat Dynamic Neural Networks: A Survey 2021 Yizeng Han
Gao Huang
Shiji Song
Le Yang
Honghui Wang
Yulin Wang
2
+ Non-Structured DNN Weight Pruning—Is It Beneficial in Any Platform? 2021 Xiaolong Ma
Sheng Lin
Shaokai Ye
Zhezhi He
Linfeng Zhang
Geng Yuan
Sia Huat Tan
Zhengang Li
Deliang Fan
Xuehai Qian
2
+ PDF Chat DeepWear: Adaptive Local Offloading for On-Wearable Deep Learning 2019 Mengwei Xu
Feng Qian
Mengze Zhu
Feifan Huang
Saumay Pushp
Xuanzhe Liu
2
+ PDF Chat Ensemble deep learning: A review 2022 M. A. Ganaie
Minghui Hu
A. K. Malik
M. Tanveer
Ponnuthurai Nagaratnam Suganthan
2
+ PDF Chat Client Selection for Federated Learning with Heterogeneous Resources in Mobile Edge 2019 Takayuki Nishio
Ryo Yonetani
2
+ PDF Chat Live Service Migration in Mobile Edge Clouds 2017 Andrew Machen
Shiqiang Wang
Kin K. Leung
Bong Jun Ko
Theodoros Salonidis
2
+ PDF Chat End-to-End Evaluation of Federated Learning and Split Learning for Internet of Things 2020 Yansong Gao
Minki Kim
Alsharif Abuadbba
Yeonjae Kim
Chandra Thapa
Kyuyeon Kim
Seyit A. Camtep
Hyoungshick Kim
‪Surya Nepal‬
2
+ PDF Chat Dynamic-OFA: Runtime DNN Architecture Switching for Performance Scaling on Heterogeneous Embedded Platforms 2021 Wei Lou
Xun Lei
Amin Sabet
Jia Bi
Jonathon Hare
Geoff V. Merrett
2
+ PDF Chat Model Pruning Enables Efficient Federated Learning on Edge Devices 2022 Yuang Jiang
Shiqiang Wang
VĂ­ctor Valls
Bong Jun Ko
Wei‐Han Lee
Kin K. Leung
Leandros Tassiulas
2
+ PDF Chat Densely Connected Convolutional Networks 2017 Gao Huang
Zhuang Liu
Laurens van der Maaten
Kilian Q. Weinberger
2
+ PDF Chat Performance Estimation of Container-Based Cloud-to-Fog Offloading 2019 Ayesha Abdul Majeed
Peter Kilpatrick
Ivor Spence
Blesson Varghese
2
+ PDF Chat Distributed learning of deep neural network over multiple agents 2018 Otkrist Gupta
Ramesh Raskar
2
+ PDF Chat SplitFed: When Federated Learning Meets Split Learning 2022 Chandra Thapa
M.A.P. Chamikara
Seyit Camtepe
Lichao Sun
2
+ PDF Chat SkipNet: Learning Dynamic Routing in Convolutional Networks 2018 Xin Wang
Fisher Yu
Zi-Yi Dou
Trevor Darrell
Joseph E. Gonzalez
2
+ PDF Chat Compact and Computationally Efficient Representation of Deep Neural Networks 2019 Simon Wiedemann
Klaus‐Robert Müller
Wojciech Samek
2
+ PDF Chat Learning Transferable Architectures for Scalable Image Recognition 2018 Barret Zoph
Vijay Vasudevan
Jonathon Shlens
Quoc V. Le
2
+ PDF Chat Resource Management in Fog/Edge Computing 2019 Cheol-Ho Hong
Blesson Varghese
2
+ PruneNet: Channel Pruning via Global Importance 2020 Ashish Khetan
Zohar Karnin
2
+ PDF Chat Communication-Efficient Federated Learning With Compensated Overlap-FedAvg 2021 Yuhao Zhou
Qing Ye
Jiancheng Lv
2
+ Pruning neural networks without any data by iteratively conserving synaptic flow 2020 Hidenori Tanaka
Daniel Kunin
Daniel Yamins
Surya Ganguli
2
+ What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision? 2017 Alex Kendall
Yarin Gal
1
+ Solution of equations involving analytic functions 1982 Mathilde Carpentier
A. F. dos Santos
1
+ Residual Networks Behave Like Ensembles of Relatively Shallow Networks 2016 Andreas Veit
Michael J. Wilber
Serge Belongie
1
+ Federated Optimization: Distributed Machine Learning for On-Device Intelligence 2016 Jakub Konečný
H. Brendan McMahan
Daniel Ramage
Peter RichtĂĄrik
1
+ Iterative Methods for the Solution of Equations. 1967 David M. Young
J. F. Traub
1
+ Deep Speech: Scaling up end-to-end speech recognition 2014 Awni Hannun
Carl Case
Jared Casper
Bryan Catanzaro
Greg Diamos
Erich Elsen
Ryan Prenger
Sanjeev Satheesh
Shubho Sengupta
Adam Coates
1
+ Numerical computation of polynomial zeros by means of Aberth's method 1996 Dario A. Bini
1
+ PDF Chat BranchyNet: Fast inference via early exiting from deep neural networks 2016 Surat Teerapittayanon
Bradley McDanel
H. T. Kung
1