Zobrazeno 1 - 10
of 698
pro vyhledávání: '"Parasnis, A."'
Autor:
Chang, Zhan-Lun, Han, Dong-Jun, Parasnis, Rohit, Hosseinalipour, Seyyedali, Brinton, Christopher G.
While most existing federated learning (FL) approaches assume a fixed set of clients in the system, in practice, clients can dynamically leave or join the system depending on their needs or interest in the specific task. This dynamic FL setting intro
Externí odkaz:
http://arxiv.org/abs/2410.05662
Autor:
Parasnis, Rohit, Amin, Saurabh
We consider the problem of promoting sustainability in production forests wherein a given number of strategic entities are authorized to manage concession regions. These entities harvest agricultural commodities and sell them in a market. We study op
Externí odkaz:
http://arxiv.org/abs/2404.13662
Autor:
Zehtabi, Shahryar, Han, Dong-Jun, Parasnis, Rohit, Hosseinalipour, Seyyedali, Brinton, Christopher G.
Decentralized federated learning (DFL) captures FL settings where both (i) model updates and (ii) model aggregations are exclusively carried out by the clients without a central server. Existing DFL works have mostly focused on settings where clients
Externí odkaz:
http://arxiv.org/abs/2402.03448
As Federated Learning (FL) grows in popularity, new decentralized frameworks are becoming widespread. These frameworks leverage the benefits of decentralized environments to enable fast and energy-efficient inter-device communication. However, this g
Externí odkaz:
http://arxiv.org/abs/2311.07946
Generative Adversarial Networks (GANs) have risen to prominence in the field of deep learning, facilitating the generation of realistic data from random noise. The effectiveness of GANs often depends on the quality of feature extraction, a critical a
Externí odkaz:
http://arxiv.org/abs/2311.05548
Autor:
Kulkarni, Aditya, Parasnis, Guruprasad, Balasubramanian, Harish, Jain, Vansh, Chokshi, Anmol, Sonkusare, Reena
Lung diseases such as COVID-19, tuberculosis (TB), and pneumonia continue to be serious global health concerns that affect millions of people worldwide. In medical practice, chest X-ray examinations have emerged as the norm for diagnosing diseases, p
Externí odkaz:
http://arxiv.org/abs/2310.06080
This research paper presents a novel approach to pothole detection using Deep Learning and Image Processing techniques. The proposed system leverages the VGG16 model for feature extraction and utilizes a custom Siamese network with triplet loss, refe
Externí odkaz:
http://arxiv.org/abs/2308.03467
We consider the problem of solving a large-scale system of linear equations in a distributed or federated manner by a taskmaster and a set of machines, each possessing a subset of the equations. We provide a comprehensive comparison of two well-known
Externí odkaz:
http://arxiv.org/abs/2304.10640
Autor:
Parasnis, Rohit, Hosseinalipour, Seyyedali, Chu, Yun-Wei, Chiang, Mung, Brinton, Christopher G.
Semi-decentralized federated learning blends the conventional device to-server (D2S) interaction structure of federated model training with localized device-to-device (D2D) communications. We study this architecture over practical edge networks with
Externí odkaz:
http://arxiv.org/abs/2303.08988
We propose a random adaptation variant of time-varying distributed averaging dynamics in discrete time. We show that this leads to novel interpretations of fundamental concepts in distributed averaging, opinion dynamics, and distributed learning. Nam
Externí odkaz:
http://arxiv.org/abs/2206.12709