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AI-empowered mobile edge computing: inducing balanced federated learning strategy over edge for balanced data and optimized computation cost
In Mobile Edge Computing, the framework of federated learning can enable collaborative learning models across edge nodes, without necessitating the...
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Towards an Optimal Contention Resolution Scheme for Matchings
In this paper, we study contention resolution schemes for matchings. Given a fractional matching x and a random set R(x) where each edge e appears...
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CAT: Controllable Attribute Translation for Fair Facial Attribute Classification
As the social impact of visual recognition has been under scrutiny, several protected-attribute balanced datasets emerged to address dataset bias in...
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Learning from masked analogies between sentences at multiple levels of formality
This paper explores the inference of sentence analogies not restricted to the formal level. We introduce MaskPrompt, a prompt-based method that...
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Adding Semantics to Fuzzy Similarity Measures Through the d-Choquet Integral
This paper introduces three classes of similarity measures for fuzzy description profiles, defined through the d-Choquet integral. Such classes of...
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Breaking the \(O(\sqrt{n})\)-Bit Barrier: Byzantine Agreement with Polylog Bits Per Party
Byzantine agreement (BA), the task of n parties to agree on one of their input bits in the face of malicious agents, is a powerful primitive that...
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Federated learning model for credit card fraud detection with data balancing techniques
In recent years, credit card transaction fraud has resulted in massive losses for both consumers and banks. Subsequently, both cardholders and banks...
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Pushdown and One-Counter Automata: Constant and Non-constant Memory Usage
It cannot be decided whether a one-counter automaton accepts each string in its language using a counter whose value is bounded by a constant....
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Simulation of Multiple Stages in Single Bin Active Tile Self-assembly
Two significant and often competing goals within the field of self-assembly are minimizing tile types and minimizing human-mediated experimental...
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ITAQ: Image Tag Recommendation Framework for Aquatic Species Integrating Semantic Intelligence via Knowledge Graphs
In the era of Web 3.0, there is an increasing demand for social image tagging that incorporates knowledge-centric paradigms and adheres to semantic...
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The Influence of the Thematic Coherency of CSR Activities on Users’ Purchase Intention on E-Commerce Platforms
Digital technology has reshaped the business landscape, E-Commerce platform enterprises are becoming a new organizational vehicle, and their social...
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How Well Do Vision Transformers (VTs) Transfer to the Non-natural Image Domain? An Empirical Study Involving Art Classification
Vision Transformers (VTs) are becoming a valuable alternative to Convolutional Neural Networks (CNNs) when it comes to problems involving...
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The influence of research collaboration on citation impact: the countries in the European Innovation Scoreboard
The effect of research collaboration (RC) on citation impact (the citations that the scientific knowledge has received) has been studied over the...
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Brilliance and Resilience: A New Perspective to the Challenges, Practices and Needs of University Students with Visual Impairments in India
People with visual impairments in India have low literacy rates and only a few pursue higher education at the country's top universities. We present...
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Few-Shot Video Object Detection
We introduce Few-Shot Video Object Detection (FSVOD) with three contributions to real-world visual learning challenge in our highly diverse and...
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Multicast Key Agreement, Revisited
Multicast Key Agreement (MKA) is a long-overlooked natural primitive of large practical interest. In traditional MKA, an omniscient group manager...
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NNBits: Bit Profiling with a Deep Learning Ensemble Based Distinguisher
We introduce a deep learning ensemble (NNBits) as a tool for bit-profiling and evaluation of cryptographic (pseudo) random bit sequences. On the one...
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Bias in X (Twitter) and Telegram Based Intelligence Analysis: Exploring Challenges and Potential Mitigating Roles of AI
Bias identification and mitigation in the social media ecosystem has been lately researched towards achieving a more efficient utilization of social...
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Equal accuracy for Andrew and Abubakar—detecting and mitigating bias in name-ethnicity classification algorithms
Uncovering the world’s ethnic inequalities is hampered by a lack of ethnicity-annotated datasets. Name-ethnicity classifiers (NECs) can help, as they...
