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05/09/2023
Towards Building the Federated GPT: Federated Instruction Tuning
While “instruction-tuned" generative large language models (LLMs) have d...
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10/14/2022
Neural Routing in Meta Learning
Meta-learning often referred to as learning-to-learn is a promising noti...
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08/20/2022
FLIS: Clustered Federated Learning via Inference Similarity for Non-IID Data Distribution
Classical federated learning approaches yield significant performance de...
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05/02/2021
Personalized Federated Learning by Structured and Unstructured Pruning under Data Heterogeneity
The traditional approach in FL tries to learn a single global model coll...
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06/18/2020
Unsupervised Meta-Learning through Latent-Space Interpolation in Generative Models
Unsupervised meta-learning approaches rely on synthetic meta-tasks that ...
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06/03/2019
Data Sampling for Graph Based Unsupervised Learning: Convex and Greedy Optimization
In a number of situations, collecting a function value for every data po...
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07/31/2018
On the Security Analysis of a Cooperative Incremental Relaying Protocol in the Presence of an Active Eavesdropper
Physical layer security offers an efficient means to decrease the risk o...
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09/08/2017
A Novel Low-Complexity Framework in Ultra-Wideband Imaging for Breast Cancer Detection
In this research work, a novel framework is pro- posed as an efficient s...
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07/31/2017
