17 citations · 126 across the 44 of their papers we have counts for
47 papers
Fast Convergence through Distributed Augmentation for Class-Imbalanced Federated Learning
Arathi Nair M, J. Harshan, Anwitaman Datta
In federated learning, mitigating class imbalance is essential to improve minority-class performance. A common approach to address this problem is to augment minority-class samples…
How international are international computing conferences? -- An exploration with systems research conferences
Pedro Garcia Lopez, Marina López Alet, Usama Benabdelkrim Zakan +1
In recent years, Asia's rapid growth in research output has been reshaping the computing research landscape. What was once a two-block system (America and Europe) is evolving into…
Collateral Portfolio Optimization in Crypto-Backed Stablecoins
Bretislav Hajek, Daniel Reijsbergen, Anwitaman Datta +1
Stablecoins - crypto tokens whose value is pegged to a real-world asset such as the US Dollar - are an important component of the DeFi ecosystem as they mitigate the impact of toke…
On Scaling LT-Coded Blockchains in Heterogeneous Networks and their Vulnerabilities to DoS Threats
Harikrishnan K., J. Harshan, Anwitaman Datta
Coded blockchains have acquired prominence as a promising solution to reduce storage costs and facilitate scalability. Within this class, Luby Transform (LT) coded blockchains are…
eCIL-MU: Embedding based Class Incremental Learning and Machine Unlearning
Zhiwei Zuo, Zhuo Tang, Bin Wang +2
New categories may be introduced over time, or existing categories may need to be reclassified. Class incremental learning (CIL) is employed for the gradual acquisition of knowledg…
Machine unlearning through fine-grained model parameters perturbation
Zhiwei Zuo, Zhuo Tang, Kenli Li +1
Machine unlearning techniques, which involve retracting data records and reducing influence of said data on trained models, help with the user privacy protection objective but incu…