2 citations · 2 across the 5 of their papers we have counts for
6 papers
ALIGN-FL: Architecture-independent Learning through Invariant Generative component sharing in Federated Learning
Mayank Gulati, Benedikt Groß, Gerhard Wunder
We present ALIGN-FL, a novel approach to distributed learning that addresses the challenge of learning from highly disjoint data distributions through selective sharing of generati…
Rethinking Explanation Evaluation under the Retraining Scheme
Yi Cai, Thibaud Ardoin, Mayank Gulati +1
Feature attribution has gained prominence as a tool for explaining model decisions, yet evaluating explanation quality remains challenging due to the absence of ground-truth explan…
An Investigation into the Performance of Non-Contrastive Self-Supervised Learning Methods for Network Intrusion Detection
Hamed Fard, Tobias Schalau, Gerhard Wunder
Network intrusion detection, a well-explored cybersecurity field, has predominantly relied on supervised learning algorithms in the past two decades. However, their limitations in…
Tuning Block Size for Workload Optimization in Consortium Blockchain Networks
Narges Dadkhah, Somayeh Mohammadi, Gerhard Wunder
Determining the optimal block size is crucial for achieving high throughput in blockchain systems. Many studies have focused on tuning various components, such as databases, networ…
Transparent Neighborhood Approximation for Text Classifier Explanation
Yi Cai, Arthur Zimek, Eirini Ntoutsi +1
Recent literature highlights the critical role of neighborhood construction in deriving model-agnostic explanations, with a growing trend toward deploying generative models to impr…
DBNode: A Decentralized Storage System for Big Data Storage in Consortium Blockchains
Narges Dadkhah, Xuyang Ma, Katinka Wolter +1
Storing big data directly on a blockchain poses a substantial burden due to the need to maintain a consistent ledger across all nodes. Numerous studies in decentralized storage sys…