14 Nov 2025
The paper “Split Happens” by Tanveer Khan, Mindaugas Budzys and Antonis Michalas examines leakage in split learning and introduces an FSS-based protocol to keep data and labels on the client.
📰harpocrates-project.eu/split…
#SplitLearning #FunctionSecretSharing #MachineLearning
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7 May 2022
#SplitLearning: Distributed #DeepLearning method without sensitive data sharing. SplitNN is a distributed and private deep learning technique to train deep #neuralnetworks over multiple data sources without the need to share raw labelled data directly. bit.ly/3yiFRNx
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12 Jan 2022
How reliably does #splitlearning safeguard private information?
@gg159136 and @vectorinversion in our @LiveRamp privacy tech group published their paper on #splitnn attacks and thwarting them with #differentialprivacy in @RealAAAI
Check it out: arxiv.org/abs/2201.04018
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9 Aug 2021
ML models memorize training data, a major #privacy problem for data collaboration, even w/ #federatedlearning
@gg159136 and @vectorinversion gave a fantastic preso at @opendp_org this morning on applying #differentialprivacy to #splitlearning to solve this
More to come!
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27 Oct 2020
Our new preprint - *FedSL*, we propose a novel Federated and #SplitLearning technique for training sequentially distributed data using #RNN, and show its works better than conventional methods on #EHR data. Great Work @abediai
#FederatedLearning #CloudAI
tinyurl.com/yxfogn8z
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21 Mar 2020
Great work being led by @raskarmit @johnkwerner on possible way of using #splitlearning for #covid_19 tracking
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23 Dec 2019
and some of the ongoing MIT projects was really informative and enlightening. Hearing him talk about split learning and federated learning really did open our thinking horizons! (2)
#REDX #splitlearning #federatedlearning #innovation #machinelearning #deeplearning #makermela
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23 Nov 2019
#Software vs #AI: #ArtificialIntelligence is wisdom through example. See #federatedlearning and #SplitLearning in action @TEDxBeaconSt #TEDxBeaconSt #TEDxBeaconStreet @MIT_CSAIL @medialab @IrmaRaste @eViRaHealth @ipfconline1
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AI on Siloed Data: Sharing wisdom not raw data. Beyond anonymization to protect data, towards #datautility. Specific reference to applications in legal. #ImaginationInAction splitlearning.github.io #Splitlearning #datacommons @jamesondempsey
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27 Apr 2019
Great idea to use #splitlearning & #federatedlearning to enable #ML at a large scale while protecting individual data privacy. Huge implications for #healthcare #imaginationinaction @raskarmit
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17 Apr 2019
.@proneat from @MIT talked about #SplitLearning, a recently developed, highly resource efficient method for collaboration in the health sector, allowing to perform distributed deep learning under data sharing constraints. Download slides bit.ly/2VRy9Uu #datacouncil
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3 Apr 2019
Data Council SF '19 Speaker Announcement: @proneat from @MIT will talk about "#SplitLearning: A Resource Efficient Distributed #DeepLearning Method without Sensitive Data Sharing". Book your tickets now bit.ly/2UdhGx5
#datacouncil
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