Search Results for author: Ashish Gupta

Found 6 papers, 2 papers with code

Securing Federated Learning against Overwhelming Collusive Attackers

no code implementations28 Sep 2022 Priyesh Ranjan, Ashish Gupta, Federico Corò, Sajal K. Das

While relaxing this assumption that anyway does not hold in reality due to the heterogeneous nature of devices, federated learning (FL) has emerged as a privacy-preserving solution to train a collaborative model over non-iid data distributed across a massive number of devices.

Federated Learning Privacy Preserving

FedAR+: A Federated Learning Approach to Appliance Recognition with Mislabeled Data in Residential Buildings

no code implementations3 Sep 2022 Ashish Gupta, Hari Prabhat Gupta, Sajal K. Das

With the enhancement of people's living standards and rapid growth of communication technologies, residential environments are becoming smart and well-connected, increasing overall energy consumption substantially.

Federated Learning Privacy Preserving

Long-Short History of Gradients is All You Need: Detecting Malicious and Unreliable Clients in Federated Learning

1 code implementation14 Aug 2022 Ashish Gupta, Tie Luo, Mao V. Ngo, Sajal K. Das

Not only this, but we can also distinguish between targeted and untargeted attacks among malicious clients, unlike most prior works which only consider one type of the attacks.

Federated Learning

Hyperparameter optimization with REINFORCE and Transformers

no code implementations1 Jun 2020 Chepuri Shri Krishna, Ashish Gupta, Swarnim Narayan, Himanshu Rai, Diksha Manchanda

In this paper, we demonstrate how its performance can be improved by using a simplified Transformer block to model the policy network.

Hyperparameter Optimization Neural Architecture Search +1

Approaches and Applications of Early Classification of Time Series: A Review

no code implementations6 May 2020 Ashish Gupta, Hari Prabhat Gupta, Bhaskar Biswas, Tanima Dutta

As most of the approaches have solved the early classification problem with different aspects, it becomes very important to make a thorough review of the existing solutions to know the current status of the area.

Classification General Classification +3

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