1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.LG2023★ 1 cited
Equitable-FL: Federated Learning with Sparsity for Resource-Constrained Environment
Indrajeet Kumar Sinha, Shekhar Verma, Krishna Pratap Singh
In Federated Learning, model training is performed across multiple computing devices, where only parameters are shared with a common central server without exchanging their data in…
cs.LG2023
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…