README.md

fl_seminar

federated seminar held at BUAA

• fl_seminar
  • Time
  • Venue
  • Programme (planned)
  • Compilation
  • Code
• More resources

Time

Each Thursday 20:00, excluding public holidays

Venue

Usually in E402

Programme (planned)

to turn into a table

1. Distributed Optimization and Statistical Learning via the Alternating Direction Method of Multipliers (PDF) chapter 7
   • time: 2021-04-29 Thursday 20:00
   • venue: E402
   • speaker: WEN Hao
   • notes
2. Distributed Optimization and Statistical Learning via the Alternating Direction Method of Multipliers (PDF) chapter 8
   • time: 2021-05-12 Thursday 20:00
   • venue: E502
   • speaker: WEN Hao
   • notes
3. Personalization problems in federated learning (main resource)
   • time: 2021-05-24 Thursday 20:00
   • venue: E402
   • speaker: WEN Hao
   • slides
4. Personalization problems in federated learning continued (main resource1, main resource 2)
   • time: 2021-06-10 Thursday 20:00
   • venue: E402
   • speaker: WEN Hao
   • slides
5. GADMM and CQ-GADMM (main resource1, main resource2, main resource3)
   • time: 2021-06-24 Thursday 20:00
   • venue: E402
   • speaker: WEN Hao
   • slides
6. Compression (resources inside the slides)
   • time: 2021-07-15 Thursday 20:00
   • venue: E402
   • speaker: WEN Hao
   • slides
7. Gradient Tracking in Decentralized Optimization
   • time: 2021-09-09 Thursday 19:00
   • venue: E402
   • speaker: JIN Zhengfen
   • raw notes (updating)
8. pFedMac (main resource)
   • time: 2021-09-16 Thursday 20:00
   • venue: E402
   • speaker: WEN Hao
   • slides (updating)
9. Operator Splitting and FL (main resources: FedSplit and FedDR)
   • time (planned): 2021-10-28 Thursday 20:00
   • venue: E402
   • speaker: WEN Hao
   • notes/slides (To update....)

Compilation

The best way for compilation is to import this project into Overleaf. For local compilation,

python compile.py

with texlive-full and latexmk etc. installed.

Code

Code folder contains codes for research purpose, as well as codes that re-implement some published FL algorithms.

Code folder is deprecated. Please refer to this repo for the latest codes.

More resources

1. A comprehensive survey article: Advances and open problems in federated learning (PDF)
2. Federated Learning One World Seminar (FLOW)
3. Awesome Federated Learning on GitHub
4. Another Introductory Repository on GitHub
5. Yet Another Awesome Federated Learning Repository on GitHub
6. NIID-Bench
7. References netdisk folder
8. AMiner: List of Must-Read
9. Boyd ADMM book website