Master's thesis topic: Optimizing Federated Learning on Non-IID Data: Aggregation Approaches Based on Similarity
Python · active 2023-08-18 → 2026-03-31 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 957 days from 2023-08-18 to 2026-03-31. Pushes: 0 total, peak 0 in a day. Pull requests: 10 total, peak 2 in a day. Issues: 1 total, peak 1 in a day. Comments: 19 total, peak 6 in a day. Stars: 452 total, peak 4 in a day.
- Pushes
- Pull requests
- Issues
- Comments
- Stars
Stars, PRs, issues and forks are under-captured in the later part of this window. GH Archive progressively stopped capturing non-push events during 2026 — −95% or worse by the end of the window. Every series here except Pushes fades for that reason, so a decline above reflects the archive, not this repository. Pushes stay reliable throughout, so read them, and the contributor counts derived from them, as the real signal. Data health has the measurements.
Top contributors
Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity
| Contributor | Contributions | Pushes | PRs | Comments |
|---|---|---|---|---|
| GAmyin | 6 | 0 | 0 | 6 |
| Lyadalachanchu | 4 | 0 | 3 | 1 |
| saigontrade88 | 3 | 0 | 0 | 3 |
| 1henrypage | 2 | 0 | 2 | 0 |
| Xiaoni-61 | 2 | 0 | 0 | 2 |
| tetra-code | 2 | 0 | 2 | 0 |
| mateimone | 2 | 0 | 0 | 1 |
| import-sisi | 2 | 0 | 2 | 0 |
| 0w0suy | 1 | 0 | 0 | 1 |
| Zhuxz111 | 1 | 0 | 0 | 1 |
| Yile-Xu | 1 | 0 | 0 | 1 |
| rishi-ps | 1 | 0 | 1 | 0 |
| shuguang99 | 1 | 0 | 0 | 1 |
| monkryeyes | 1 | 0 | 0 | 1 |
| loumaster | 1 | 0 | 0 | 1 |
| Icecream102 | 1 | 0 | 0 | 0 |
Recent activity
Latest issues, pull requests and releases
- Issue comment#51monkryeyes2025-12-30 03:25ACCURACY about federated_main.py --model=cnn --dataset=cifar --gpu=0 --iid=1 --epochs=10
- Issue comment#300w0suy2025-11-03 06:08A Small Issue with the MLP Model
- Pull request#52rishi-ps2025-09-20 20:00
- Issue#51Icecream1022025-04-07 14:53ACCURACY about federated_main.py --model=cnn --dataset=cifar --gpu=cuda:0 --iid=1 --epochs=10
- Pull request#50import-sisi2024-11-05 18:29
- Issue comment#22loumaster2024-10-17 04:47AttributeError: 'Namespace' object has no attribute 'gpu_id'
- Pull request#49import-sisi2024-09-30 11:20
- Issue comment#44shuguang992024-06-22 19:07Some issues in federated_main.py
- Issue comment#42GAmyin2024-06-14 11:54NameError: name 'global_model' is not defined
- Issue comment#37GAmyin2024-06-14 11:51problem when i'm trying to use the --unequal=1 case
- Issue comment#37GAmyin2024-06-14 11:50problem when i'm trying to use the --unequal=1 case
- Issue comment#37GAmyin2024-06-14 11:34problem when i'm trying to use the --unequal=1 case
- Issue comment#37GAmyin2024-06-14 11:31problem when i'm trying to use the --unequal=1 case
- Issue comment#42GAmyin2024-06-14 10:57NameError: name 'global_model' is not defined
- Pull request#48Lyadalachanchu2024-05-07 14:34
- Pull request#47Lyadalachanchu2024-05-06 07:49
- Issue comment#47Lyadalachanchu2024-05-05 14:26Implement fed avg
- Pull request#47Lyadalachanchu2024-05-05 14:24
- Pull request#46tetra-code2024-05-01 10:13
- Pull request#46tetra-code2024-05-01 10:07
- Pull request#451henrypage2024-04-30 22:58
- Pull request#451henrypage2024-04-30 22:57
- Issue comment#23Yile-Xu2024-02-11 23:51Why the test accuracy of CIFAR is so low ？
- Issue comment#26Xiaoni-612023-11-01 02:48What is difference between conventional way and federated way
- Issue comment#43Xiaoni-612023-11-01 02:44Parallel computing support
Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 452 stars here means stars gained during the window, not the repo's star count.