2 papers
cs.LG2025
Adaptive Weighted Loss for Sequential Recommendations on Sparse Domains
Akshay Mittal, Vinay Venkatesh, Krishna Kandi +1
The effectiveness of single-model sequential recommendation architectures, while scalable, is often limited when catering to "power users" in sparse or niche domains. Our previous…
cs.LG2025
Edge-FIT: Federated Instruction Tuning of Quantized LLMs for Privacy-Preserving Smart Home Environments
Vinay Venkatesh, Vamsidhar R Kamanuru, Lav Kumar +1
This paper proposes Edge-FIT (Federated Instruction Tuning on the Edge), a scalable framework for Federated Instruction Tuning (FIT) of Large Language Models (LLMs). Traditional Fe…