3 papers
cs.LG2026
CLoVE: Personalized Federated Learning through Clustering of Loss Vector Embeddings
Randeep Bhatia, Nikos Papadis, Murali Kodialam +2
We propose CLoVE (Clustering of Loss Vector Embeddings), a novel algorithm for Clustered Federated Learning (CFL). In CFL, clients are naturally grouped into clusters based on thei…
cs.DC2026
Exploiting Spot Instances for Time-Critical Cloud Workloads Using Optimal Randomized Strategies
Neelkamal Bhuyan, Randeep Bhatia, Murali Kodialam +1
This paper addresses the challenge of deadline-aware online scheduling for jobs in hybrid cloud environments, where jobs may run on either cost-effective but unreliable spot instan…
cs.DC2026
Opportunistic Scheduling for Optimal Spot Instance Savings in the Cloud
Neelkamal Bhuyan, Randeep Bhatia, Murali Kodialam +1
We study the problem of scheduling delay-sensitive jobs over spot and on-demand cloud instances to minimize average cost while meeting an average delay constraint. Jobs arrive as a…