activity
20172026
most citedStatus of Serverless Computing and Function-as-a-Service(FaaS) in Industry and Research

115 citations · 240 across the 29 of their papers we have counts for

collaborators
Showing 2022Show all

7 papers · 1 filter

cs.AI2022★ 1 cited

A Case for Business Process-Specific Foundation Models

Yara Rizk, Praveen Venkateswaran, Vatche Isahagian +1

The inception of large language models has helped advance state-of-the-art performance on numerous natural language tasks. This has also opened the door for the development of foun…

cs.LG2022★ 2 cited

FedGen: Generalizable Federated Learning for Sequential Data

Praveen Venkateswaran, Vatche Isahagian, Vinod Muthusamy +1

Existing federated learning models that follow the standard risk minimization paradigm of machine learning often fail to generalize in the presence of spurious correlations in the…

cs.DC2022★ 1 cited

Hybrid Serverless Computing: Opportunities and Challenges

Paul Castro, Vatche Isahagian, Vinod Muthusamy +1

In recent years, there has been a surge in the adoption of serverless computing due to the ease of deployment, attractive pay-per-use pricing, and transparent horizontal auto-scali…

cs.DC2022

Just-in-Time Aggregation for Federated Learning

K. R. Jayaram, Ashish Verma, Gegi Thomas +1

The increasing number and scale of federated learning (FL) jobs necessitates resource efficient scheduling and management of aggregation to make the economics of cloud-hosted aggre…

cs.CL2022★ 3 cited

A No-Code Low-Code Paradigm for Authoring Business Automations Using Natural Language

Michael Desmond, Evelyn Duesterwald, Vatche Isahagian +1

Most business process automation is still developed using traditional automation technologies such as workflow engines. These systems provide domain specific languages that require…

cs.CL2022★ 1 cited

Natural Language Sentence Generation from API Specifications

Siyu Huo, Kushal Mukherjee, Jayachandu Bandlamudi +3

APIs are everywhere; they provide access to automation solutions that could help businesses automate some of their tasks. Unfortunately, they may not be accessible to the business…

cs.DC2022

Adaptive Aggregation For Federated Learning

K. R. Jayaram, Vinod Muthusamy, Gegi Thomas +2

Advances in federated learning (FL) algorithms,along with technologies like differential privacy and homomorphic encryption, have led to FL being increasingly adopted and used in m…