ICLR 2023 Paper submission analysis from https://openreview.net/group?id=ICLR.cc/2023/Conference

Implemented D-DQN Reinforcement Learning for device selection in Federated Learning

A raft consensus protocol implementation in C++.

A quantum machine learning algorithm for quantum non-IID federated learning

About DNN compression and acceleration on Edge Devices.

Some small introductory reinforcement learning practice projects

Simple verification experiments codes for multi-agent RL using OpenAI MPE environment

编程之路

Reinforcement learning approach for job shop scheduling

A cloud simulation framework.

Official implementation of "LOOK, LISTEN AND PAY MORE ATTENTION: FUSING MULTI-MODAL INFORMATION FOR VIDEO VIOLENCE DETECTION" ICASSP2022

FEDML - The unified and scalable ML library for large-scale distributed training, model serving, and federated learning. FEDML Launch, a cross-cloud scheduler, further enables running any AI jobs o…

Computing with Eigenvalue Distributions of Large Random Matrices of the Covariance Type

This project is the implementation of the research paper titled "Dynamic Request Scheduling Optimization in Mobile Edge Computing for IoT Applications"

Energy Efficient ML and DL Computing for GE Research

Code for paper "Adaptive Federated Learning in Resource Constrained Edge Computing Systems"

Lightweight flow-level simulator for inter-node network and service coordination (e.g., in cloud/edge computing or NFV).

Making accurate object detection at the edge: review and new approach

Simulation Codes for Three Dynamic Pricing Schemes for Resource Allocation of Edge Computing for IoT Environment

A world of intelligent edge computing

Research on incentive mechanism design in mobile crowdsensing and mobile edge computing by deep reinforcement learning approaches.