Heterogeneous split federated learning in MEC platform | Notion

<aside> 📢 2024 Q1 SAINT Lab. Undergraduate student (3rd grade)

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Work In Progress

Thesis

Heterogeneous split federated learning in MEC platform

Accelerated federated split learning

DEPTHFL: DEPTHWISE FEDERATED LEARNING FOR HETEROGENEOUS CLIENTS

ACCELERATING FEDERATED SPLIT LEARNING VIA LOCAL-LOSS-BASED TRAINING

ScaleFL: Resource-Adaptive Federated Learning with Heterogeneous Clients

FedSplitX: Federated Split Learning for Computationally-Constrained Heterogeneous Clients

Activation: 압축과 해제

Feature Compression for Rate Constrained Object Detection on the Edge

Lightweight Compression of Intermediate Neural Network Features for Collaborative Intelligence

Code Implementation

Efficient Neural Network Compression Inspired by Compressive Sensing

Lightweight Compression of Intermediate Neural Network Features for Collaborative Intelligence