3 papers
cs.LG2023
FLIPS: Federated Learning using Intelligent Participant Selection
Rahul Atul Bhope, K. R. Jayaram, Nalini Venkatasubramanian +2
This paper presents the design and implementation of FLIPS, a middleware system to manage data and participant heterogeneity in federated learning (FL) training workloads. In parti…
cs.DC2022
Just-in-Time Aggregation for Federated Learning
K. R. Jayaram, Ashish Verma, Gegi Thomas +1
The increasing number and scale of federated learning (FL) jobs necessitates resource efficient scheduling and management of aggregation to make the economics of cloud-hosted aggre…
cs.DC2022
Adaptive Aggregation For Federated Learning
K. R. Jayaram, Vinod Muthusamy, Gegi Thomas +2
Advances in federated learning (FL) algorithms,along with technologies like differential privacy and homomorphic encryption, have led to FL being increasingly adopted and used in m…