Pramit Saha
@psaha.bsky.social
DPhil (PhD) Candidate #medical #computervision #AI @UniofOxford @oxengsci @NobleLabOxford working on Multimodal Learning, Federated Learning, and Semi-supervised Learning with Alison Noble | MASc @ECEUBC with Sidney Fels
https://pramitsaha.github.io/
https://pramitsaha.github.io/
Pinned
Pramit Saha
@psaha.bsky.social
· Dec 6
For #Federated #Learning (FL) researchers:
FL #Highlights from #NeurIPS2024 @neuripsconf.bsky.social
Key areas:
(1) Privacy, Security, and Attacks
(2) Heterogeneity
(3) LLM/Foundation Models (pretraining & fine-tuning)
(4) Model Merging
(5) Personalization
Selected papers on each below:
FL #Highlights from #NeurIPS2024 @neuripsconf.bsky.social
Key areas:
(1) Privacy, Security, and Attacks
(2) Heterogeneity
(3) LLM/Foundation Models (pretraining & fine-tuning)
(4) Model Merging
(5) Personalization
Selected papers on each below:
For #Federated #Learning (FL) researchers:
FL #Highlights from #NeurIPS2024 @neuripsconf.bsky.social
Key areas:
(1) Privacy, Security, and Attacks
(2) Heterogeneity
(3) LLM/Foundation Models (pretraining & fine-tuning)
(4) Model Merging
(5) Personalization
Selected papers on each below:
FL #Highlights from #NeurIPS2024 @neuripsconf.bsky.social
Key areas:
(1) Privacy, Security, and Attacks
(2) Heterogeneity
(3) LLM/Foundation Models (pretraining & fine-tuning)
(4) Model Merging
(5) Personalization
Selected papers on each below:
December 6, 2024 at 9:29 PM
For #Federated #Learning (FL) researchers:
FL #Highlights from #NeurIPS2024 @neuripsconf.bsky.social
Key areas:
(1) Privacy, Security, and Attacks
(2) Heterogeneity
(3) LLM/Foundation Models (pretraining & fine-tuning)
(4) Model Merging
(5) Personalization
Selected papers on each below:
FL #Highlights from #NeurIPS2024 @neuripsconf.bsky.social
Key areas:
(1) Privacy, Security, and Attacks
(2) Heterogeneity
(3) LLM/Foundation Models (pretraining & fine-tuning)
(4) Model Merging
(5) Personalization
Selected papers on each below:
Hit 300 citations today. A small step but also a motivation to keep learning and growing.
Grateful to all who found our works worth citing.
Find our latest federated learning work here: arxiv.org/abs/2411.11912
#research #googlescholar #federated #Learning #AIinhealthcare
Grateful to all who found our works worth citing.
Find our latest federated learning work here: arxiv.org/abs/2411.11912
#research #googlescholar #federated #Learning #AIinhealthcare
December 6, 2024 at 7:51 PM
Hit 300 citations today. A small step but also a motivation to keep learning and growing.
Grateful to all who found our works worth citing.
Find our latest federated learning work here: arxiv.org/abs/2411.11912
#research #googlescholar #federated #Learning #AIinhealthcare
Grateful to all who found our works worth citing.
Find our latest federated learning work here: arxiv.org/abs/2411.11912
#research #googlescholar #federated #Learning #AIinhealthcare