Top Tweets for #distributedML
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#AIxBlock #DePIN #AI #DistributedML #decentralizedGPU #DistributedComputing #FedML #DDP #LLM #blockchain
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#DataSecurity #DePIN #DistributedML #decentralizedGPU
Happy to announce that our paper, "The Future of Consumer Edge-AI Computing" has been accepted to IEEE Pervasive Computing.
Extended Preprint: https://t.co/TY7nvz5A4x
Talk @ FLOW Seminar: https://t.co/L3qv1GiiQs
#machinelearning, #edgeai, #mobile, #research, #distributedml
📣Deal of the Day📣 Jan 9
45% off TODAY ONLY!
Distributed Machine Learning Patterns & selected titles: https://t.co/DcpsoLASzY @TerryTangYuan #distributedML #Kubeflow #ArgoWorkflows
Now in print! Practical patterns for scaling #ML from your laptop to a distributed cluster.
The summer #intern programme of @brave for 2024 is out! We are #hiring research sci/eng interns in our team. If pursuing a PhD and interested in #EfficientML, #DistributedML, #LLMs & on-device #measurements, reach out. Applications: https://t.co/36baAnOBLy
Counting hours to our 3rd iteration of the DistributedML workshop co-located with @ACMSIGCOMM #CoNEXT. Program starts at 10am CEST in Sapienza Uni Di Roma🇮🇹. Attendance is hybrid. Tune in for some great talks and fruitful discussions in the area of #distributedml.
How distributed ML could actually disrupt the data giants https://t.co/fXaqBS8Xck via @DisruptiveAsia #ML #AI #FederatedLearning #DistributedML #decentralized #privacy #dataanalytics #UserHeldData #Google #Apple #edgecomputing #5G #Nokia #Ericsson #machinelearning
If you haven't heard the news, DistributedML'22 is going to Rome with @ACMSIGCOMM #conext2022. We look forward to your submissions and seeing you hopefully in person this year.
Submissions deadline: 16.09
More details here: https://t.co/d9oc0QmUPK
#distributedml #research
#Machinelearning meets #networking: In March, we will organise a workshop at @HPI_DE where we discuss how #distributedML can be supported by clever networking. All other ML <-> Networking topics are welcome as well. https://t.co/44F1xgrz4g
Announcing "SynapseML: A simple, multilingual, and massively parallel machine learning library" https://t.co/uCSZKu7cih #Synapse #MachineLearning #AI #AzureSynapse #DataScience #ONNX #DistributedML
Last edition of the https://t.co/o4WPrszEtH workshop was a great success with great papers and speakers (online!). This year the deadline is on September 17, co-located with Conext. Consider submitting your work! See you there @stevelaskaridis @tforcworc #ML #DistributedML #FL
How Latent Space used the Amazon SageMaker model parallelism library to push the frontiers of large-scale transformers via @AWSCloud #AI #MachineLearning #MLOps #DistributedML https://t.co/CMEjcotPZ8
Machine learning on distributed Dask using Amazon SageMaker and AWS Fargate via @AWSCloud #AI #MachineLearning #DistributedML https://t.co/tNC7H5QNlM
The science behind Amazon SageMaker’s distributed-training engines via @AmazonScience #AI #MachineLearning #DistributedML #MLOps https://t.co/YuzMTEe8VB
The high demand for visual Content Delivery Systems (CDS) has led to a new class of CDS that exploit, what we call, neural enhancement (NE). At #DistributedML 2020, watch my colleague Royson Lee, presenting our survey of existing NE-equipped CDS, in addition to future directions
What defines large-scale #MachineLearning? Learn more by reading our new @Medium article 'The Trade-Offs of Large-Scale Machine Learning' by @olivkoch ↓ https://t.co/5qNX8nEG2g #DistributedML
#DeepLearning #DistributedSystems
Really excited to announce our accepted paper @ Mobicom 2020. Great work with my awesome colleagues on progressive DNN offloading. Stay tuned for more ... #distributedml #MachineLearning #mobilesystems #mobicom
A pre-print of our Mobicom'20 paper "SPINN: Synergistic Progressive Inference of Neural Networks over Device and Cloud" with @stevelaskaridis, Stelios Venieris, @iliasl & @niclane7, is now available in https://t.co/6ASW5tRx3U
Super productive hands on session on @dask_dev. Thanks @mrocklin @_JacobTomlinson for answering all the questions & looking forward to more such sessions in the future #Dask #DistributedML
We are just kicking off our first Dask online tutorial. If you didn't manage to sign up this time don't worry, we hope to run these regularly.
@dask_dev
Distributed Machine Learning for Big Data and Streaming - Blog Post by @kuldeepjiwani, Distinguished Architect - Data Science Director at Guavus.
Find out more: https://t.co/jAxz0G1jlB
#DistributedML #ML #Analytics #BigData
Full lecture room followed interesting ACCESS ISS talk by Deniz Gunduz from Imperial College London on how to use #DeepNeuralNetworks in source channel coding problems and the communication problem in #DistributedML. @DenizGunduz1 @Imperial_IPCL @KTHuniversity @KTHresearch
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