VSAONLINE. SEASON 11. October 20, 20:00GMT. Ye Tian.
Evgeny Osipov
Dear all,
Welcome to the next talk of Season 11 on VSAONLINE. Ye Tian, UC San Diego, USA will deliver a talk
”Federated Hyperdimensional Computing: Comprehensive Analysis and Robust Communication”
Date: October 20, 2025
Time: 20:00 GMT
Zoom: https://ltu-se.zoom.us/j/65564790287
Title: Federated Hyperdimensional Computing: Comprehensive Analysis and Robust Communication.
Abstract: Federated learning is a distributed learning method by training the model in locally multiple clients, which has been used in numerous fields. Current convolutional neural networks (CNN)-based federated learning approaches face challenges from computational cost, communication efficiency, and robust communication. Recently, Hyper Dimensional Computing (HDC) has been recognized as a promising technique to address these challenges. HDC encodes data as high-dimensional vectors and enables lightweight training and communication through simple parallel vector operations. Several HDC-based federated learning methods have been proposed. Although existing methods reduce computational efficiency and communication cost, they are difficult to handle complex learning tasks and are not robust to unreliable wireless channels. In this work, we innovatively introduce a synergetic federated learning framework, FHDnn. With the complementary strengths of CNN and HDC, FHDnn can achieve optimal performance on complex image tasks while maintaining good computational and communication efficiency. Secondly, we demonstrate in detail the convergence of using HDC in a generalized federated learning framework, providing theoretical guarantees for HDC-based federated learning approach. Finally, we design three communication strategies to further improve the communication efficiency of FHDnn by 32×. Experiments demonstrate that FHDnn converges 3× faster than CNN-based federated learning methods, reduces the communication cost by 2,112×, and the local computation and energy consumption by 192×. In addition, it has good robustness to unreliable communication with bit errors, noise, and packet loss.
Evgeny Osipov
Dear all,
This is a reminder about the VSAONLINE webinars today as per details below.
See you all in couple of hours!
Evgeny
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