Sai Qian Zhang | DeepAI

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492 publications
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37 publications
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∙ 05/04/2023

CAMEL: Co-Designing AI Models and Embedded DRAMs for Efficient On-Device Learning

The emergence of the Internet of Things (IoT) has resulted in a remarkab...

0 Sai Qian Zhang, et al. ∙

∙ 07/19/2022

SphereFed: Hyperspherical Federated Learning

Federated Learning aims at training a global model from multiple decentr...

2 Xin Dong, et al. ∙

∙ 01/09/2022

A Multi-agent Reinforcement Learning Approach for Efficient Client Selection in Federated Learning

Federated learning (FL) is a training technique that enables client devi...

0 Sai Qian Zhang, et al. ∙

∙ 10/28/2021

FAST: DNN Training Under Variable Precision Block Floating Point with Stochastic Rounding

Block Floating Point (BFP) can efficiently support quantization for Deep...

12 Sai Qian Zhang, et al. ∙

∙ 10/27/2020

Succinct and Robust Multi-Agent Communication With Temporal Message Control

Recent studies have shown that introducing communication between agents ...

0 Sai Qian Zhang, et al. ∙

∙ 07/13/2020

Term Revealing: Furthering Quantization at Run Time on Quantized DNNs

We present a novel technique, called Term Revealing (TR), for furthering...

0 H. T. Kung, et al. ∙

∙ 03/08/2020

On the Robustness of Cooperative Multi-Agent Reinforcement Learning

In cooperative multi-agent reinforcement learning (c-MARL), agents learn...

16 Jieyu Lin, et al. ∙

∙ 12/04/2019

RTN: Reparameterized Ternary Network

To deploy deep neural networks on resource-limited devices, quantization...

0 Yuhang Li, et al. ∙

∙ 09/06/2019

Efficient Communication in Multi-Agent Reinforcement Learning via Variance Based Control

Multi-agent reinforcement learning (MARL) has recently received consider...

0 Sai Qian Zhang, et al. ∙

∙ 05/01/2019

Full-stack Optimization for Accelerating CNNs with FPGA Validation

We present a full-stack optimization framework for accelerating inferenc...

0 Bradley McDanel, et al. ∙

∙ 11/07/2018

Packing Sparse Convolutional Neural Networks for Efficient Systolic Array Implementations: Column Combining Under Joint Optimization

This paper describes a novel approach of packing sparse convolutional ne...

0 H. T. Kung, et al. ∙

∙ 02/09/2018

InferBeam: A Fast Beam Alignment Protocol for Millimeter-wave Networking

We introduce fast millimeter-wave base station (BS) and its antenna sect...

0 Sai Qian Zhang, et al. ∙

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