Edgebench: Benchmarking edge computing platforms A Das, S Patterson, M Wittie 2018 IEEE/ACM International Conference on Utility and Cloud Computing …, 2018 | 121 | 2018 |
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 | 58 | 2020 |
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 | 48 | 2020 |
Multilevel local SGD: Distributed SGD for heterogeneous hierarchical networks T Castiglia, A Das, S Patterson International Conference on Learning Representations, 2021 | 39* | 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 | 32 | 2022 |
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 | 32 | 2019 |
Multi-Tier Federated Learning for Vertically Partitioned Data A Das, S Patterson ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and …, 2021 | 19 | 2021 |
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 | 12 | 2020 |
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 | 11 | 2020 |
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 | 9 | 2022 |
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 | 4 | 2021 |
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 | 3 | 2018 |
Vertical federated learning with compressed embeddings A Das, TJ Castiglia, S Patterson, S Wang US Patent App. 17/330,340, 2022 | 1 | 2022 |
Resource-Aware Distributed Analytics and Machine Learning for Hybrid Edge-Cloud Systems A Das Rensselaer Polytechnic Institute, 2021 | | 2021 |
Design and implementation of resource and performance monitoring tool for computing cluster A Das, R Sehgal, D Dutta Proceedings of the DAE Symp. on Nucl. Phys 57, 924, 2012 | | 2012 |