Top Tweets for #fedml
I was quite fascinated when I first learned about Federated Learning at @DeepIndaba 2024, now I'm working in focus group that does research in #PPML & #FedML at @ml_collective. It's been fun so far π
March 20th. What I learned today! FEDERATED LEARNING.
PS: I missed a few days after the TEDx video went up. Pardon me.
Cool initiative by @openminedorg
Learn about FL and PETs through this unique and sponsored Learn in Public journey.
Apply soon π₯π₯
#openmined #privacy #fedml #federated #learning
Privacy-Enhancing Tech researchers & data scientists: Get paid to level up your skills! π°
Weβre sponsoring learners to learn & build real-world #FederatedLearning programs & share their journey. Develop expertise + financial support!
Limited spots: https://t.co/eH1YhVVoyy
Our paper on #federated learning for random forests reached a milestone with its 50th citation! π RFs are well suited for #FedML in imbalanced medical data as demonstrated in our study #Bioinformatics @achauschild @janbaumbach @aholzin @m_lemanczyk
https://t.co/wg9Y9GOEH2
Your security isn't an add-onβit's the core of our platform. Discover how our no-cost access can elevate your protection. Reach out to us today at [email protected]
#AIxBlock #DePIN #AI #DistributedML #decentralizedGPU #DistributedComputing #FedML #DDP #LLM #blockchain
Our paper on #federated learning for random forests reached a milestone with its 40th citation! π RFs are well suited for #FedML in imbalanced medical data as demonstrated in our study #Bioinformatics @achauschild @janbaumbach @aholzin @m_lemanczyk https://t.co/wg9Y9GOEH2
LinkedIn / Twitter post:
π Exciting News! π#pretraining #finetuning #llm #GaLore #FEDML
π FEDML Nexus AI platform now unlocks the pre-training and fine-tuning of LLaMA-7B on geo-distributed RTX4090s!
πBy supporting the newly developed GaLore as a ready-to-launch job in FEDML Nexus AI, we have enabled the pre-training and fine-tuning of models like LLaMA 7B with a token batch size of 256 on a single RTX 4090, without additional memory optimization.
π Meaning? We're scaling up the training of heavy LLMs on more accessible GPUs across the world.
π‘ The magic behind it? Introducing FedLLM and UnitedLLM: our twin titans for collaborative learning. FedLLM harnesses geo-distributed data while maintaining privacy, and UnitedLLM taps into the collective strength of community GPUs for decentralized model training. Together, they're transforming the AI training landscape!
For more details, please read our blog at https://t.co/dXMiEI5Be1
LinkedIn / Twitter post:
π Exciting News! π#pretraining #finetuning #llm #GaLore #FEDML
π FEDML Nexus AI platform now unlocks the pre-training and fine-tuning of LLaMA-7B on geo-distributed RTX4090s!
πBy supporting the newly developed GaLore as a ready-to-launch job in FEDML Nexus AI, we have enabled the pre-training and fine-tuning of models like LLaMA 7B with a token batch size of 256 on a single RTX 4090, without additional memory optimization.
π Meaning? We're scaling up the training of heavy LLMs on more accessible GPUs across the world.
π‘ The magic behind it? Introducing FedLLM and UnitedLLM: our twin titans for collaborative learning. FedLLM harnesses geo-distributed data while maintaining privacy, and UnitedLLM taps into the collective strength of community GPUs for decentralized model training. Together, they're transforming the AI training landscape!
For more details, please read our blog at https://t.co/dXMiEI5Be1
@vedant23_27 blog summarised
#sitBLR sessions on latest #SAPBTP topics such as #hyperscaler Reference #architectures, #GenAI , #MultitenantSaaS apps, #SAPDatasphere and #FedML. Importantly, he highlighted references and takeaways from these sessions.
https://t.co/Y6sJGVz6BZ
@anirban_dgm @maheshk_p @gangadharansind @saplabsindia @kulmeetbawa @OriginalJGC @SAPInsideTrack @SAPCommunity
@lexavellino @Machine4lpha @akashnet I think your statement on $RNDR would've been a somewhat accurate hot take a couple years ago, but since then:
- Render Network Foundation est.
- Migration to Solana/BME
- opening the Network to AI/ML workloads (check out Compute Client RNPs #ionet #Beam #FedML #nosana)
etc.
@MotosakaToshisa $Theta also has #FedML $Lavita
#AWS #NASA and many more onboard π€ π
Check out
https://t.co/p7Fo4rDzi6
Thanks to @ThetaFiend for sharing.
He has received a #FedML job a couple of days a go in his EEN.
They paused their jobs las January 2nd.
They have come back again.
The 27th International Symposium On Real-Time Distributed Computing
IEEE ISORC 2024 (Hybrid Conference)
Carthage, Tunis, Tunisia
May 22-25, 2024
https://t.co/apYbANtosV
#ai #cloud #digitaltwin #iot #blockchain #dtl #edgeai #oran #sdn #fedml #ontology #reliability #dre #CPS
π₯°#ML for #blockchain being inspired at #AI4Science #NeurIPS @AI_for_Science #NeurIPS2023 #rl #fedml #hci #GAI #LLM
https://t.co/XWCi1yZ2U0
RNP-006 & RNP-007 V2 have both passed their final votes today!
Here's what the approval of both proposals means for @rendernetwork? π
My $Theta Edge Nodes are looking a bit different today. Looks like a new version is out with support for jobs on the $Lavita subchain. That, along with #FedML jobs that are supposed to be showing up soon.... Looks like there's going to be a jump in work for our nodes.
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