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Found 9 papers, 4 papers with code
Near-optimal Differentially Private Client Selection in Federated Settings
We develop an iterative differentially private algorithm for client selection in federated settings.
3HAN: A Deep Neural Network for Fake News Detection
The rapid spread of fake news is a serious problem calling for AI solutions.
Graph-Based Reductions for Parametric and Weighted MDPs
In terms of computational complexity, we establish that determining whether p is never worse than q is coETR-complete.
A Robust Classification Framework for Byzantine-Resilient Stochastic Gradient Descent
This paper proposes a Robust Gradient Classification Framework (RGCF) for Byzantine fault tolerance in distributed stochastic gradient descent.
Modeling Influencer Marketing Campaigns in Social Networks
For instance, we show that as the nature of the product varies from luxury to non-luxury, the performance of celebrities declines whereas the performance of nano-influencers improves.
Interleaving Fast and Slow Decision Making
The "Thinking, Fast and Slow" paradigm of Kahneman proposes that we use two different styles of thinking -- a fast and intuitive System 1 for certain tasks, along with a slower but more analytical System 2 for others.
Floating-Point Multiplication Using Neuromorphic Computing
Neuromorphic computing describes the use of VLSI systems to mimic neuro-biological architectures and is also looked at as a promising alternative to the traditional von Neumann architecture.
Egocentric Bias and Doubt in Cognitive Agents
We use a symmetric distribution centered at an agent's own opinion, as opposed to the Bounded Confidence (BC) model used in prior work.
A Distance Function for Comparing Straight-Edge Geometric Figures
For a given pair of geometric figures that are graphically isomorphic, one function measures the angular dissimilarity and another function measures the edge length disproportionality.
