niwanli / FedSL-IoMTView external linksLinks
Simulation code for the paper "FedSL: Federated Split Learning for Collaborative Healthcare Analytics on Resource-Constrained Wearable IoMT Devices".
☆16Feb 2, 2024Updated 2 years ago
Alternatives and similar repositories for FedSL-IoMT
Users that are interested in FedSL-IoMT are comparing it to the libraries listed below
Sorting:
- Code of "HSFL: Efficient and Privacy-Preserving Offloading for Split and Federated Learning in IoT Services" published on International C…☆15Oct 30, 2023Updated 2 years ago
- ☆13Sep 1, 2023Updated 2 years ago
- This is official code for ASFL.☆20Mar 3, 2025Updated 11 months ago
- Releasing the source code Version1.☆179Sep 16, 2021Updated 4 years ago
- ☆22Sep 12, 2023Updated 2 years ago
- Communication-Efficient Federated Learning through Adaptive Weight Clustering and Server-Side Distillation☆23May 22, 2024Updated last year
- On-device AI/LLM comm system | Pre-trained LLM integrated with 5G-NR PHY | Fine-tuned BART on noisy 3GPP CDL channels | 50 % compression …☆23May 26, 2024Updated last year
- ☆29Jan 29, 2024Updated 2 years ago
- Codes for paper "Learning Task-Oriented Communication for Edge Inference: An Information Bottleneck Method"☆70Apr 12, 2023Updated 2 years ago
- This Matlab package solves federated learning problems via inexact ADMM☆28Dec 19, 2024Updated last year
- Split Learning Simulation Framework for LLMs☆38Sep 10, 2024Updated last year
- Adaptive Resource-Aware Split-Learning, a framework for efficient model training in IoT systems☆14Jul 23, 2023Updated 2 years ago
- 南方电网和国家电网计算机类练习题☆20Apr 12, 2024Updated last year
- Source code for ComNet paper: Satellite multi-beam multicast support for an efficient community-based CDN☆10Jul 26, 2022Updated 3 years ago
- Flexe - The open source federated learning for vehicular network simulation framework.☆12Oct 30, 2024Updated last year
- DNN partition edge-cloud co-infer☆12Jun 11, 2023Updated 2 years ago
- ☆11Apr 4, 2022Updated 3 years ago
- ☆14May 17, 2024Updated last year
- [TPAMI 2025] Multi-Head Encoding (MHE) for Extreme Label Classification☆48Dec 1, 2025Updated 2 months ago
- LLM-Based Multi-Agent Situation Awareness☆16Jan 9, 2026Updated last month
- ☆15Apr 4, 2024Updated last year
- ☆11Dec 4, 2025Updated 2 months ago
- Self-Teaching Notes on Gradient Leakage Attacks against GPT-2 models.☆14Mar 18, 2024Updated last year
- [ICNC 2020] Hybrid Beamformer Codebook Design and Ordering for Compressive mmWave Channel Estimation☆10Jul 26, 2019Updated 6 years ago
- ☆37Updated this week
- This repository is about the paper and the code of "Beam grouping based user scheduling in multi-cell millimeter-wave MIMO systems".☆12Sep 23, 2021Updated 4 years ago
- EA-HAS-Bench: Energy-Aware Hyperparameter and Architecture Search Benchmark (ICLR Spotlight 2023)☆18Dec 8, 2024Updated last year
- 「推荐算法学习+面试指南」一份涵盖大部分推荐算法工程师所需要掌握的核心知识。【目前更新就业面试的八股文询问内容】☆16Apr 27, 2023Updated 2 years ago
- Code for Federated Generalized Bayesian Learning via Distributed Stein Variational Gradient Descent☆10Nov 19, 2020Updated 5 years ago
- [code] "A Markovian Model for Analyzing Opportunistic Request Routing in Wireless Cache Networks" by J. Dinal Herath and Anand Seetharam.…☆10Feb 27, 2019Updated 6 years ago
- ☆11Dec 22, 2021Updated 4 years ago
- ☆20Dec 4, 2024Updated last year
- Official implementation of Resisting Backdoor Attacks in Federated Learning via Bidirectional Elections and Individual Perspective☆13Sep 4, 2024Updated last year
- Try Openmax with MNIST Fashion dataset☆11Jul 22, 2018Updated 7 years ago
- Code for the paper "Overconfidence is a Dangerous Thing: Mitigating Membership Inference Attacks by Enforcing Less Confident Prediction" …☆12Sep 6, 2023Updated 2 years ago
- Federated Unfolding Learning for CSI Feedback in Distributed Edge Networks☆10Jul 7, 2024Updated last year
- Audio-only Emotion Detection using Federated Learning☆10Dec 8, 2022Updated 3 years ago
- [TMC’23] Preemptive Migration Prediction Network for Proactive Fault Tolerant Edge Computing☆10Sep 25, 2023Updated 2 years ago
- ☆10Dec 13, 2022Updated 3 years ago