2 citations · 2 across the 5 of their papers we have counts for
5 papers
FLsim: A Modular and Library-Agnostic Simulation Framework for Federated Learning
Arnab Mukherjee, Raju Halder, Joydeep Chandra
Federated Learning (FL) has undergone significant development since its inception in 2016, advancing from basic algorithms to complex methodologies tailored to address diverse chal…
Detection Made Easy: Potentials of Large Language Models for Solidity Vulnerabilities
Md Tauseef Alam, Raju Halder, Abyayananda Maiti
The large-scale deployment of Solidity smart contracts on the Ethereum mainnet has increasingly attracted financially-motivated attackers in recent years. A few now-infamous attack…
Strengthening Solidity Invariant Generation: From Post- to Pre-Deployment
Kartik Kaushik, Raju Halder, Samrat Mondal
Invariants are essential for ensuring the security and correctness of Solidity smart contracts, particularly in the context of blockchain's immutability and decentralized execution…
FedSat: A Statistical Aggregation Approach for Class Imbalanced Clients in Federated Learning
Sujit Chowdhury, Raju Halder
Federated learning (FL) has emerged as a promising paradigm for privacy-preserving distributed machine learning, but faces challenges with heterogeneous data distributions across c…
Exploring the Decentraland Economy: Multifaceted Parcel Attributes, Key Insights, and Benchmarking
Dipika Jha, Ankit K. Bhagat, Raju Halder +2
This paper presents a comprehensive Decentraland parcels dataset, called IITP-VDLand, sourced from diverse platforms such as Decentraland, OpenSea, Etherscan, Google BigQuery, and…