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Haris Vikalo

Can Transformers In-Context Learn Behavior of a Linear Dynamical System?

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Oct 21, 2024
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Recovering Labels from Local Updates in Federated Learning

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May 02, 2024
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Fed-QSSL: A Framework for Personalized Federated Learning under Bitwidth and Data Heterogeneity

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Dec 20, 2023
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Mixed-Precision Quantization for Federated Learning on Resource-Constrained Heterogeneous Devices

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Nov 29, 2023
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Accelerating Non-IID Federated Learning via Heterogeneity-Guided Client Sampling

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Sep 30, 2023
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XVir: A Transformer-Based Architecture for Identifying Viral Reads from Cancer Samples

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Aug 28, 2023
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Automotive RADAR sub-sampling via object detection networks: Leveraging prior signal information

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Feb 21, 2023
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The Best of Both Worlds: Accurate Global and Personalized Models through Federated Learning with Data-Free Hyper-Knowledge Distillation

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Jan 21, 2023
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Federated Learning in Non-IID Settings Aided by Differentially Private Synthetic Data

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Jun 01, 2022
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Federated Learning Under Intermittent Client Availability and Time-Varying Communication Constraints

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May 13, 2022
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