Zobrazeno 1 - 10
of 88
pro vyhledávání: '"Muthusamy, Vinod"'
Autor:
Basu, Kinjal, Abdelaziz, Ibrahim, Chaudhury, Subhajit, Dan, Soham, Crouse, Maxwell, Munawar, Asim, Kumaravel, Sadhana, Muthusamy, Vinod, Kapanipathi, Pavan, Lastras, Luis A.
There is a growing need for Large Language Models (LLMs) to effectively use tools and external Application Programming Interfaces (APIs) to plan and complete tasks. As such, there is tremendous interest in methods that can acquire sufficient quantiti
Externí odkaz:
http://arxiv.org/abs/2402.15491
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 training data. In many real-world distributed settings, spurious corre
Externí odkaz:
http://arxiv.org/abs/2211.01914
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 foundation models for other domains and data modalities such as images, co
Externí odkaz:
http://arxiv.org/abs/2210.14739
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 aggregation work. Existing FL research has focused on the design of FL algo
Externí odkaz:
http://arxiv.org/abs/2208.09740
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-scaling. At the same time, infrastructure advancements such as the emergenc
Externí odkaz:
http://arxiv.org/abs/2208.04213
Most business process automation is still developed using traditional automation technologies such as workflow engines. These systems provide domain specific languages that require both business knowledge and programming skills to effectively use. As
Externí odkaz:
http://arxiv.org/abs/2207.10648
Autor:
Huo, Siyu, Mukherjee, Kushal, Bandlamudi, Jayachandu, Isahagian, Vatche, Muthusamy, Vinod, Rizk, Yara
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 users who need them but are not equipped with the necessary technical
Externí odkaz:
http://arxiv.org/abs/2206.06868
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 many application domains. This increasing adoption has led to rapid gro
Externí odkaz:
http://arxiv.org/abs/2203.12163
AI business process applications automate high-stakes business decisions where there is an increasing demand to justify or explain the rationale behind algorithmic decisions. Business process applications have ordering or constraints on tasks and fea
Externí odkaz:
http://arxiv.org/abs/2108.04371
Robotic process automation (RPA) and its next evolutionary stage, intelligent process automation, promise to drive improvements in efficiencies and process outcomes. However, how can business leaders evaluate how to integrate intelligent automation i
Externí odkaz:
http://arxiv.org/abs/2010.07738