4 papers · 1 filter
DIM-SUM: Dynamic IMputation for Smart Utility Management
Ryan Hildebrant, Rahul Bhope, Sharad Mehrotra +2
Time series imputation models have traditionally been developed using complete datasets with artificial masking patterns to simulate missing values. However, in real-world infrastr…
Shift Happens: Mixture of Experts based Continual Adaptation in Federated Learning
Rahul Atul Bhope, K. R. Jayaram, Praveen Venkateswaran +1
Federated Learning (FL) enables collaborative model training across decentralized clients without sharing raw data, yet faces significant challenges in real-world settings where cl…
OptiSeq: Ordering Examples On-The-Fly for In-Context Learning
Rahul Atul Bhope, Praveen Venkateswaran, K. R. Jayaram +3
Developers using LLMs and LLM-based agents in their applications have provided plenty of anecdotal evidence that in-context-learning (ICL) is fragile. In this paper, we show that i…
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…