ahmedcs
aka. Ahmed M. Abdelmoniem - Associate Professor at QMUL, UK - Head of SAYED Systems Group - Interested in ML, networking and Distributed Systems
Queen Mary University of LondonLondon
Pinned Repositories
adaptive-federated-learning
Code for paper "Adaptive Federated Learning in Resource Constrained Edge Computing Systems"
best-of-ml-python
🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.
grace
GRACE - GRAdient ComprEssion for distributed deep learning
HyGenICC
Hypervisor-based Generic Congestion Control for Data Centres
REFL
Resource Efficient Federated Learning
RWNDQ
RWNDQ is an Equal Share Allocation Switch Design for Data Centre Networks
SICC
SDN-based Incast Congestion Control for Data Centers
SIDCo
SIDCo is An Efficient Statistical-based Gradient Compression Technique for Distributed Training Systems
T-RACKs
Timely ACKs Retransmission for Data Centres
TCP_loss_monitor
TCP socket-level monitoring of socket events (i.e, Open, Close, CWND, Fast Retransmit, Retransmission Timeouts, .. etc)
ahmedcs's Repositories
ahmedcs/FedZoo-Bench
FedZoo-Bench: An open source PyTorch libarary for federated learning with implementation of more than 22 algorithms
ahmedcs/T-RACKs
Timely ACKs Retransmission for Data Centres
ahmedcs/Awesome-Efficient-LLM
A curated list for Efficient Large Language Models
ahmedcs/Awesome-Federated-Learning-on-Graph-and-Tabular-Data
Federated learning on graph and tabular data related papers, frameworks, and datasets.
ahmedcs/awesome-large-audio-models
Collection of resources on the applications of Large Language Models (LLMs) in Audio AI.
ahmedcs/awesome-sdn
A awesome list about Software Defined Network (SDN)
ahmedcs/Backpropagation_Free_Training_Survey
ahmedcs/consul
Consul is a distributed, highly available, and data center aware solution to connect and configure applications across dynamic, distributed infrastructure.
ahmedcs/Deep-Learning-Anomaly-Detection
ahmedcs/Efficient-LLMs-Survey
Efficient Large Language Models: A Survey
ahmedcs/FedCache
This repository is the official Pytorch implementation DEMO of **FedCache**.
ahmedcs/fedDCT
FedDCT: A Novel Federated Learning Approach for Training Large Convolutional Neural Networks
ahmedcs/FedDebug
FedDebug is a novel testing and debugging technique that localizes faulty clients in Federated Learning.
ahmedcs/FederatedGPT-Shepherd
Shepherd: A lightweight, foundational framework enabling federated instruction tuning for large language models
ahmedcs/FederatedScope
An easy-to-use federated learning platform
ahmedcs/FedNH
Code release for Tackling Data Heterogeneity in Federated Learning with Class Prototypes appeared on AAAI2023.
ahmedcs/fedstellar
Fedstellar: A Platform for Decentralized Federated Learning
ahmedcs/fedzero
Implementation and evaluation of "FedZero: Leveraging Renewable Excess Energy in Federated Learning"
ahmedcs/FLASH-RL
FLASH-RL (Federated Learning Addressing System and Static Heterogeneity using Reinforcement Learning) is a novel and effective strategy for client selection in Federated Learning using Reinforcement Learning to address heterogeneity problems.
ahmedcs/FlexGen
Running large language models on a single GPU for throughput-oriented scenarios.
ahmedcs/FLOAT
ahmedcs/frp
Docker Images for Frp. (amd64, arm32v6, arm32v7, arm64v8, i386)
ahmedcs/hasaas
ahmedcs/HSCC
Control Theoretic Hysteresis Switching for Congestion Control (HSCC)
ahmedcs/IntroToBigData2023
Materials for the DISCnet Introduction to Big Data Workshop
ahmedcs/MultigraphFL
Reducing Training Time in Cross-Silo Federated Learning using Multigraph Topology (ICCV 23)
ahmedcs/Open-Tofino
ahmedcs/Pipeleon
An Automated Performance Optimization Framework for P4-Programmable SmartNICs
ahmedcs/PrivateFL
ahmedcs/SDN-GCC
SDN-based Transport-Agnostic Congestion Control (SDN-GCC)