Systems for AI Lab Georgia Tech

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2025

2024

SuperFedNAS: Cost-Efficient Federated Neural Architecture Search for On-Device Inference
SuperFedNAS: Cost-Efficient Federated Neural Architecture Search for On-Device Inference
Alind Khare, Animesh Agrawal, Aditya Annavajjala, Payman Behnam, Myungjin Lee, Hugo Latapie, Alexey Tumanov
18th European Conference on Computer Vision (ECCV 2024), Milano, Italy, Oct 2024  ·  12 Jul 2024  ·  arxiv:2301.10879
D{\epsilon}pS: Delayed {\epsilon}-Shrinking for Faster Once-For-All Training
D{\epsilon}pS: Delayed {\epsilon}-Shrinking for Faster Once-For-All Training
Aditya Annavajjala, Alind Khare, Animesh Agrawal, Igor Fedorov, Hugo Latapie, Myungjin Lee, Alexey Tumanov
18th European Conference on Computer Vision (ECCV 2024), Milano, Italy, Oct 2024  ·  09 Jul 2024  ·  arxiv:2407.06167

2023

SuperServe: Fine-Grained Inference Serving for Unpredictable Workloads
SuperServe: Fine-Grained Inference Serving for Unpredictable Workloads
Alind Khare, Dhruv Garg, Sukrit Kalra, Snigdha Grandhi, Ion Stoica, Alexey Tumanov
22nd USENIX Symposium on Networked Systems Design and Implementation (NSDI'25), Philadelphia, USA, 2025.  ·  29 Dec 2023  ·  arxiv:2312.16733
Hardware–Software Co-Design for Real-Time Latency–Accuracy Navigation in Tiny Machine Learning Applications
Hardware–Software Co-Design for Real-Time Latency–Accuracy Navigation in Tiny Machine Learning Applications
Payman Behnam, Jianming Tong, Alind Khare, Yangyu Chen, Yue Pan, Pranav Gadikar, Abhimanyu Bambhaniya, Tushar Krishna, Alexey Tumanov
IEEE Micro  ·  01 Nov 2023  ·  doi:10.1109/MM.2023.3317243
ABKD: Graph Neural Network Compression with Attention-Based Knowledge Distillation
ABKD: Graph Neural Network Compression with Attention-Based Knowledge Distillation
Anshul Ahluwalia, Rohit Das, Payman Behnam, Alind Khare, Pan Li, Alexey Tumanov
arXiv  ·  25 Oct 2023  ·  arxiv:2310.15938
Subgraph Stationary Hardware-Software Inference Co-Design
Subgraph Stationary Hardware-Software Inference Co-Design
Payman Behnam, Jianming Tong, Alind Khare, Yangyu Chen, Yue Pan, Pranav Gadikar, Abhimanyu Rajeshkumar Bambhaniya, Tushar Krishna, Alexey Tumanov
Proc. of Sixth Conference on Machine Learning and Systems (MLSys'23)  ·  03 Jul 2023  ·  arxiv:2306.17266
Slides

2022

UnfoldML: Cost-Aware and Uncertainty-Based Dynamic 2D Prediction for Multi-Stage Classification
UnfoldML: Cost-Aware and Uncertainty-Based Dynamic 2D Prediction for Multi-Stage Classification
Yanbo Xu, Alind Khare, Glenn Matlin, Monish Ramadoss, Rishikesan Kamaleswaran, Chao Zhang, Alexey Tumanov
Proc. of 36'th Conference on Neural Information Processing Systems (NeurIPS'22)  ·  31 Oct 2022  ·  arxiv:2210.15056
Enabling Real-time DNN Switching via Weight-Sharing
Enabling Real-time DNN Switching via Weight-Sharing
Jianming Tong, Yangyu Chen, Yue Pan, Abhimanyu Bambhaniya, Alind Khare, Taekyung Heo, Alexey Tumanov, Tushar Krishna
Proc. of 2nd Architecture, Compiler, and System Support for Multi-model DNN Workloads Workshop  ·  01 Jun 2022

2021

CompOFA: Compound Once-For-All Networks for Faster Multi-Platform Deployment
CompOFA: Compound Once-For-All Networks for Faster Multi-Platform Deployment
Manas Sahni, Shreya Varshini, Alind Khare, Alexey Tumanov
Proc. of International Conference on Learning Representations (ICLR'21)  ·  27 Apr 2021  ·  arxiv:2104.12642
Video
Code

2020

HOLMES: Health OnLine Model Ensemble Serving for Deep Learning Models in Intensive Care Units
HOLMES: Health OnLine Model Ensemble Serving for Deep Learning Models in Intensive Care Units
Shenda Hong, Yanbo Xu, Alind Khare, Satria Priambada, Kevin Maher, Alaa Aljiffry, Jimeng Sun, Alexey Tumanov
Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining  ·  20 Aug 2020  ·  doi:10.1145/3394486.3403212
Video
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