Explore tweets tagged as #SplitComputing
@federico_cunico
Federico Cunico
3 years
I am excited to announce that our newest paper "I-Split: Deep Network Interpretability for Split Computing" has been accepted at #ICPR2022! ๐Ÿฅณ. #deepneuralnetworks #splitcomputing #embeddedsystems
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@l_capogrosso
Luigi Capogrosso
3 years
Happy to announce that our paper "I-Split: Deep Network Interpretability for Split Computing" has been accepted at #ICPR2022! ๐Ÿฅณ .More information below ๐Ÿงต. #deepneuralnetworks #splitcomputing #embeddedsystems
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@l_capogrosso
Luigi Capogrosso
2 years
Starting March in the best way possible! ๐Ÿฅณ.Very excited to share that I had two papers accepted at #DDECS2023! ๐Ÿ”ฅ. Very cool topics, including #SplitComputing and #BinaryGraphs! ๐Ÿ“š.I will post details about each project soon โ˜บ๏ธ. #deeplearning #embeddedsystems #formalmethods
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@5Gtraining
Free 5G Training
5 years
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@6Gtraining
Free 6G Training
2 years
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@l_capogrosso
Luigi Capogrosso
1 year
๐Ÿงฑ We added another brick to our research on #DistributedDeepLearning through Split Computing!. ๐Ÿ’ฅ I'm pleased that our recent paper, "Enhancing #SplitComputing and #EarlyExit Applications through Predefined #Sparsity", in collaboration with @UNC, has been accepted to #FLD2024!
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@Totocellux
๐˜š๐˜ข๐˜ญ๐˜ท๐˜ข๐˜ต๐˜ฐ๐˜ณ๐˜ฆ ๐˜Š๐˜ข๐˜ฎ๐˜ฑ๐˜ฐ๐˜ญ๐˜ฐ ึŽ
5 years
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@l_capogrosso
Luigi Capogrosso
2 months
2/4.๐Ÿ“š Specifically, this is a curated collection of cutting-edge research, tools, and frameworks focused onย #SplitComputing and #EarlyExit, the emerging paradigm that brings learning models closer to the edge by distributing workloads between devices and the cloud.
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@l_capogrosso
Luigi Capogrosso
3 years
Now available on #arXiv. Check it out! ๐Ÿ˜Ž.#deepneuralnetworks #splitcomputing.
@Arxiv_Daily
arXiv Daily
3 years
I-SPLIT: Deep Network Interpretability for Split Computing.by Federico Cunico et al. including @l_capogrosso.#NeuralNetwork #Neurons.
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@l_capogrosso
Luigi Capogrosso
3 years
"I-SPLIT: Deep Network Interpretability for Split Computing" is now available on arXiv! ๐Ÿš€. Check out our work: ๐Ÿ˜Ž. #deepneuralnetworks #splitcomputing.
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@l_capogrosso
Luigi Capogrosso
1 year
1๏ธโƒฃ We introduce a novel approach by combining the concept of predefined #sparsity with #SplitComputing and #EarlyExit. 2๏ธโƒฃ Specifically, we show how predefined sparsity significantly reduces the computational, storage, and energy burdens during the training and inference phases.
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@l_capogrosso
Luigi Capogrosso
1 year
I'm super happy that our paper, "Learning-Enabled CPS for Edge-Cloud Computing", in collaboration with @UNC, has been accepted to the 14th Symposium on Industrial Embedded Systems!. ๐ŸŒ You can find out more at: #SplitComputing #CPS #Edge #Cloud.
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@l_capogrosso
Luigi Capogrosso
9 months
A huge thanks to @Galfurian, @MarcoCristani, Franco Fummi, and Samarjit Chakraborty ๐Ÿ’ช. #SplitComputing #KnapsackProblem #DeepNeuralNetworks #EdgeDevices.
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@iTimBenson
Tim Benson
14 years
@freeridecoding Bah! I think Apple just need server-side accelerator component for their iCloud calendar implementation. #SplitComputing.
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@l_capogrosso
Luigi Capogrosso
1 year
๐Ÿ  Don't forget to check out the "More Research" section to explore our work on #SplitComputing over the years!. A big thank you to all the other co-authors of this paper: Shengjie Xu, Enrico Fraccaroli, @MarcoCristani, Franco Fummi, and Samarjit Chakrabortyย ๐Ÿ’ช.
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@l_capogrosso
Luigi Capogrosso
3 years
๐Ÿ”Ž Proceedings available!.Our paper "I-SPLIT: Deep Network Interpretability for #SplitComputing" accepted @ICPRinfo 2022 is now available on @IEEEXplore; Read it! ๐Ÿ˜Ž. ๐Ÿ’ป Here, the official PyTorch implementation of the framework:
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@xvasilakos_
Xenofon Vasilakos
3 years
Details about the talks and panel discussion: @5gasp #5gasp #ECOC2022 #ECOC #splitcomputing #5G #6G #sdn #networks.
@xvasilakos_
Xenofon Vasilakos
3 years
Many thanks to the organisers of the workshop on the "Role of optical network for split computing between the edge and cloud in support of ultra low latency services", participants, and to the panel of incredible speakers. Talk:
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