Search Results for author: Samiul Alam

Found 10 papers, 6 papers with code

IoT in the Era of Generative AI: Vision and Challenges

no code implementations3 Jan 2024 Xin Wang, Zhongwei Wan, Arvin Hekmati, Mingyu Zong, Samiul Alam, Mi Zhang, Bhaskar Krishnamachari

Equipped with sensing, networking, and computing capabilities, Internet of Things (IoT) such as smartphones, wearables, smart speakers, and household robots have been seamlessly weaved into our daily lives.

Federated Learning Prompt Engineering

Efficient Large Language Models: A Survey

3 code implementations6 Dec 2023 Zhongwei Wan, Xin Wang, Che Liu, Samiul Alam, Yu Zheng, Jiachen Liu, Zhongnan Qu, Shen Yan, Yi Zhu, Quanlu Zhang, Mosharaf Chowdhury, Mi Zhang

Large Language Models (LLMs) have demonstrated remarkable capabilities in important tasks such as natural language understanding, language generation, and complex reasoning and have the potential to make a substantial impact on our society.

Natural Language Understanding Text Generation

FedAIoT: A Federated Learning Benchmark for Artificial Intelligence of Things

1 code implementation29 Sep 2023 Samiul Alam, Tuo Zhang, Tiantian Feng, Hui Shen, Zhichao Cao, Dong Zhao, JeongGil Ko, Kiran Somasundaram, Shrikanth S. Narayanan, Salman Avestimehr, Mi Zhang

However, most existing FL works are not conducted on datasets collected from authentic IoT devices that capture unique modalities and inherent challenges of IoT data.

Benchmarking Federated Learning

GPT-FL: Generative Pre-trained Model-Assisted Federated Learning

1 code implementation3 Jun 2023 Tuo Zhang, Tiantian Feng, Samiul Alam, Dimitrios Dimitriadis, Mi Zhang, Shrikanth S. Narayanan, Salman Avestimehr

Through comprehensive ablation analysis, we discover that the downstream model generated by synthetic data plays a crucial role in controlling the direction of gradient diversity during FL training, which enhances convergence speed and contributes to the notable accuracy boost observed with GPT-FL.

Federated Learning

FedRolex: Model-Heterogeneous Federated Learning with Rolling Sub-Model Extraction

3 code implementations3 Dec 2022 Samiul Alam, Luyang Liu, Ming Yan, Mi Zhang

Most cross-device federated learning (FL) studies focus on the model-homogeneous setting where the global server model and local client models are identical.

Federated Learning Model extraction

A Large Multi-Target Dataset of Common Bengali Handwritten Graphemes

2 code implementations1 Oct 2020 Samiul Alam, Tahsin Reasat, Asif Shahriyar Sushmit, Sadi Mohammad Siddiquee, Fuad Rahman, Mahady Hasan, Ahmed Imtiaz Humayun

We propose a labeling scheme based on graphemes (linguistic segments of word formation) that makes segmentation in-side alpha-syllabary words linear and present the first dataset of Bengali handwritten graphemes that are commonly used in an everyday context.

Multi-Label Classification Optical Character Recognition +1

NumtaDB - Assembled Bengali Handwritten Digits

2 code implementations6 Jun 2018 Samiul Alam, Tahsin Reasat, Rashed Mohammad Doha, Ahmed Imtiaz Humayun

To benchmark Bengali digit recognition algorithms, a large publicly available dataset is required which is free from biases originating from geographical location, gender, and age.

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