4 papers · 1 filter
ResQ: Mixed-Precision Quantization of Large Language Models with Low-Rank Residuals
Utkarsh Saxena, Sayeh Sharify, Kaushik Roy +1
Post-training quantization (PTQ) of large language models (LLMs) holds the promise in reducing the prohibitive computational cost at inference time. Quantization of all weight, act…
SADDLe: Sharpness-Aware Decentralized Deep Learning with Heterogeneous Data
Sakshi Choudhary, Sai Aparna Aketi, Kaushik Roy
Decentralized training enables learning with distributed datasets generated at different locations without relying on a central server. In realistic scenarios, the data distributio…
AdaGossip: Adaptive Consensus Step-size for Decentralized Deep Learning with Communication Compression
Sai Aparna Aketi, Abolfazl Hashemi, Kaushik Roy
Decentralized learning is crucial in supporting on-device learning over large distributed datasets, eliminating the need for a central server. However, the communication overhead r…
Averaging Rate Scheduler for Decentralized Learning on Heterogeneous Data
Sai Aparna Aketi, Sakshi Choudhary, Kaushik Roy
State-of-the-art decentralized learning algorithms typically require the data distribution to be Independent and Identically Distributed (IID). However, in practical scenarios, the…