9 citations · 14 across the 7 of their papers we have counts for
3 papers · 1 filter
FAM: fast adaptive federated meta-learning
Indrajeet Kumar Sinha, Shekhar Verma, Krishna Pratap Singh
In this work, we propose a fast adaptive federated meta-learning (FAM) framework for collaboratively learning a single global model, which can then be personalized locally on indiv…
Deep Learning Techniques in Extreme Weather Events: A Review
Shikha Verma, Kuldeep Srivastava, Akhilesh Tiwari +1
Extreme weather events pose significant challenges, thereby demanding techniques for accurate analysis and precise forecasting to mitigate its impact. In recent years, deep learnin…
Learning to Learn with Indispensable Connections
Sambhavi Tiwari, Manas Gogoi, Shekhar Verma +1
Meta-learning aims to solve unseen tasks with few labelled instances. Nevertheless, despite its effectiveness for quick learning in existing optimization-based methods, it has seve…