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Anirban Das
Anirban Das
Applied Researcher, AI Foundations, Capital One
Verified email at capitalone.com
Title
Cited by
Cited by
Year
Edgebench: Benchmarking edge computing platforms
A Das, S Patterson, M Wittie
2018 IEEE/ACM International Conference on Utility and Cloud Computing …, 2018
1352018
Performance Optimization for Edge-Cloud Serverless Platforms via Dynamic Task Placement
A Das, S Imai, MP Wittie, S Patterson
2020 20th IEEE/ACM International Symposium on Cluster, Cloud and Internet …, 2020
722020
Skedulix: Hybrid Cloud Scheduling for Cost-Efficient Execution of Serverless Applications
A Das, A Leaf, CA Varela, S Patterson
2020 IEEE 13th International Conference on Cloud Computing (CLOUD), 609-618, 2020
602020
Multilevel local SGD: Distributed SGD for heterogeneous hierarchical networks
T Castiglia, A Das, S Patterson
International Conference on Learning Representations, 2021
57*2021
Compressed-vfl: Communication-efficient learning with vertically partitioned data
TJ Castiglia, A Das, S Wang, S Patterson
International conference on machine learning, 2738-2766, 2022
532022
Privacy is what we care about: Experimental investigation of federated learning on edge devices
A Das, T Brunschwiler
Proceedings of the First International Workshop on Challenges in Artificial …, 2019
372019
Multi-Tier Federated Learning for Vertically Partitioned Data
A Das, S Patterson
ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and …, 2021
252021
Cross-silo federated learning for multi-tier networks with vertical and horizontal data partitioning
A Das, T Castiglia, S Wang, S Patterson
ACM Transactions on Intelligent Systems and Technology (TIST) 13 (6), 1-27, 2022
212022
Tumor neoantigen heterogeneity impacts bystander immune inhibition of pancreatic cancer growth
M Das, X Zhou, Y Liu, A Das, B Vincent, J Li, R Liu, L Huang
Translational Oncology 13 (12), 2020
142020
Formalizing event-driven behavior of serverless applications
M Obetz, A Das, T Castiglia, S Patterson, A Milanova
Service-Oriented and Cloud Computing: 8th IFIP WG 2.14 European Conference …, 2020
132020
Preference tuning with human feedback on language, speech, and vision tasks: A survey
GI Winata, H Zhao, A Das, W Tang, DD Yao, SX Zhang, S Sahu
arXiv preprint arXiv:2409.11564, 2024
92024
Worldcuisines: A massive-scale benchmark for multilingual and multicultural visual question answering on global cuisines
GI Winata, F Hudi, PA Irawan, D Anugraha, RA Putri, Y Wang, A Nohejl, ...
arXiv preprint arXiv:2410.12705, 2024
52024
Diffusion and consensus in a weakly coupled network of networks
Y Yi, A Das, B Bamieh, Z Zhang, S Patterson
IEEE Transactions on Control of Network Systems 8 (4), 1601-1612, 2021
42021
Rainbowpo: A unified framework for combining improvements in preference optimization
H Zhao, GI Winata, A Das, SX Zhang, DD Yao, W Tang, S Sahu
arXiv preprint arXiv:2410.04203, 2024
32024
LLM Surgery: Efficient Knowledge Unlearning and Editing in Large Language Models
AK Veldanda, SX Zhang, A Das, S Chakraborty, S Rawls, S Sahu, ...
arXiv preprint arXiv:2409.13054, 2024
32024
Convergence rate of consensus in a network of networks
A Das, Y Yi, S Patterson, B Bamieh, Z Zhang
2018 IEEE Conference on Decision and Control (CDC), 459-465, 2018
32018
Continual Pre-training of MoEs: How robust is your router?
B Thérien, CÉ Joseph, Z Sarwar, A Panda, A Das, SX Zhang, S Rawls, ...
arXiv preprint arXiv:2503.05029, 2025
2025
StructMoE: Structured Mixture of Experts Using Low Rank Experts
Z Sarwar, A Panda, B Thérien, S Rawls, A Das, K Balasubramaniam, ...
NeurIPS Efficient Natural Language and Speech Processing Workshop, 182-193, 2024
2024
Vertical federated learning with compressed embeddings
SW Anirban Das, Timothy John Castiglia, Stacy Elizabeth Patterson
US Patent 12,033,074, 2024
2024
Resource-Aware Distributed Analytics and Machine Learning for Hybrid Edge-Cloud Systems
A Das
Rensselaer Polytechnic Institute, 2021
2021
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