Alternatives and similar repositories for MECTA:

Users that are interested in MECTA are comparing it to the libraries listed below

• Xu-Jingyi / FedCorr
  CVPR 2022: FedCorr: Multi-Stage Federated Learning for Label Noise Correction
  ☆36Updated last year
• justincui03 / dc_benchmark
  ☆86Updated 2 years ago
• Yujun-Shi / FedCLS
  [ICLR2023] Towards Understanding and Mitigating Dimensional Collapse in Heterogeneous Federated Learning (https://arxiv.org/abs/2210.0022…
  ☆40Updated 2 years ago
• SonyResearch / MocoSFL
  Official Repository for MocoSFL (accepted by ICLR '23, notable 5%)
  ☆52Updated 2 years ago
• SonyResearch / RaTP
  Continual Model Generalization for Unseen Domains
  ☆45Updated 2 years ago
• zhangmarvin / memo
  ☆63Updated last year
• jhoon-oh / FedBABU
  ICLR 2022, "FedBABU: Toward Enhanced Representation for Federated Image Classification"
  ☆51Updated 3 years ago
• LINs-lab / FedTHE
  [ICLR 2023] Test-time Robust Personalization for Federated Learning
  ☆54Updated last year
• ryanchankh / cifar100coarse
  Build PyTorch CIFAR100 using coarse labels
  ☆38Updated 4 years ago
• baowenxuan / ATP
  [NeurIPS 2023] Adaptive Test-Time Personalization for Federated Learning. Wenxuan Bao, Tianxin Wei, Haohan Wang, Jingrui He.
  ☆21Updated last year
• SonyResearch / IDEAL
  Query-Efficient Data-Free Learning from Black-Box Models
  ☆22Updated 2 years ago
• mmendiet / FedAlign
  Official repository for Local Learning Matters: Rethinking Data Heterogeneity in Federated Learning [CVPR 2022 Oral, Best Paper Finalist]
  ☆60Updated 2 years ago
• ZFancy / SFAT
  [ICLR 2023] "Combating Exacerbated Heterogeneity for Robust Models in Federated Learning"
  ☆32Updated last year
• snu-mllab / Efficient-Dataset-Condensation
  Official PyTorch implementation of "Dataset Condensation via Efficient Synthetic-Data Parameterization" (ICML'22)
  ☆112Updated last year
• royson / fedl2p
  [NeurIPS'23] FedL2P: Federated Learning to Personalize
  ☆21Updated 9 months ago
• zju-vipa / Fast-Datafree
  [AAAI-2022] Up to 100x Faster Data-free Knowledge Distillation
  ☆69Updated 2 years ago
• jayroxis / CKA-similarity
  An Numpy and PyTorch Implementation of CKA-similarity with CUDA support
  ☆90Updated 3 years ago
• Leebh-kor / Simple-code-Visualizing-the-Loss-Landscape-of-Neural-Nets
  Reimplmentation of Visualizing the Loss Landscape of Neural Nets with PyTorch 1.8
  ☆27Updated 2 years ago
• zlijingtao / ResSFL
  Official Repository for ResSFL (accepted by CVPR '22)
  ☆21Updated 2 years ago
• SMILELab-FL / FedNoisy
  Benchmark for federated noisy label learning
  ☆23Updated 7 months ago
• illidanlab / FADE
  [KDD2021] Federated Adversarial Debiasing for Fair and Transferable Representations: Optimize an adversarial domain-adaptation objective …
  ☆26Updated 2 years ago
• tanimutomo / cifar10-c-eval
  Testing a model performance for CIFAR10-C
  ☆34Updated 5 years ago
• illidanlab / FedRBN
  [AAAI'23] Federated Robustness Propagation: Sharing Robustness in Heterogeneous Federated Learning
  ☆27Updated 2 years ago
• liyxi / mnist-m
  The MNIST-M dataset for domain adaptation (PyTorch).
  ☆38Updated 4 years ago
• danielchyeh / ImageNet-100-Pytorch
  (Pytorch) Training ResNets on ImageNet-100 data
  ☆57Updated 3 years ago
• SonyResearch / COALA
  COALA: A Practical and Vision-Centric Federated Learning Platform, accepted to ICML'24
  ☆115Updated 5 months ago
• jhcknzzm / SSFL-Benchmarking-Semi-supervised-Federated-Learning
  Benchmarking Semi-supervised Federated Learning
  ☆53Updated 2 years ago
• daiqing98 / FedCIL
  Code for ICLR 2023 Paper Better Generative Replay for Continual Federated Learning
  ☆27Updated 2 years ago
• vsingh-group / LCODEC-deep-unlearning
  Code for CVPR22 paper "Deep Unlearning via Randomized Conditionally Independent Hessians"
  ☆25Updated 2 years ago
• SaraBabakN / MFCL-NeurIPS23
  ☆19Updated last year