Alternatives and similar repositories for acpsgd

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

• LGrCo / L-GreCo
  AN EFFICIENT AND GENERAL FRAMEWORK FOR LAYERWISE-ADAPTIVE GRADIENT COMPRESSION
  ☆14Updated 2 years ago
• yxli2123 / LoSparse
  ☆61Updated 2 years ago
• DS3Lab / AC-SGD
  Code associated with the paper **Fine-tuning Language Models over Slow Networks using Activation Compression with Guarantees**.
  ☆27Updated 2 years ago
• Ying1123 / llm-caching-multiplexing
  ☆20Updated 2 years ago
• bytedance / QSync
  Official resporitory for "IPDPS' 24 QSync: Quantization-Minimized Synchronous Distributed Training Across Hybrid Devices".
  ☆20Updated last year
• SymbioticLab / ModelKeeper
  A Cluster-Wide Model Manager to Accelerate DNN Training via Automated Training Warmup
  ☆35Updated 2 years ago
• SqueezeAILab / SqueezedAttention
  [ACL 2025] Squeezed Attention: Accelerating Long Prompt LLM Inference
  ☆54Updated 11 months ago
• hku-systems / naspipe
  ☆14Updated 3 years ago
• kazukiosawa / pipe-fisher
  ☆10Updated 2 years ago
• llm-db / FineInfer
  Deferred Continuous Batching in Resource-Efficient Large Language Model Serving (EuroMLSys 2024)
  ☆19Updated last year
• vineeths96 / Gradient-Compression
  We present a set of all-reduce compatible gradient compression algorithms which significantly reduce the communication overhead while mai…
  ☆10Updated 3 years ago
• DerrickYLJ / TidalDecode
  [ICLR 2025] TidalDecode: A Fast and Accurate LLM Decoding with Position Persistent Sparse Attention
  ☆48Updated 2 months ago
• DS3Lab / Decentralized_FM_alpha
  ☆19Updated 2 years ago
• zyxxmu / cam
  Pytorch implementation of our paper accepted by ICML 2024 -- CaM: Cache Merging for Memory-efficient LLMs Inference
  ☆47Updated last year
• sjtu-epcc / DVABatch
  ☆21Updated 3 years ago
• ParCIS / Ok-Topk
  Ok-Topk is a scheme for distributed training with sparse gradients. Ok-Topk integrates a novel sparse allreduce algorithm (less than 6k c…
  ☆27Updated 2 years ago
• kimihe / Octo
  Create tiny ML systems for on-device learning.
  ☆20Updated 4 years ago
• lzhangbv / dear_pytorch
  [ICDCS 2023] DeAR: Accelerating Distributed Deep Learning with Fine-Grained All-Reduce Pipelining
  ☆11Updated last year
• zhuzilin / pytorch-malloc
  An external memory allocator example for PyTorch.
  ☆16Updated 2 months ago
• hmarkc / parallel-prompt-decoding
  Efficient LLM Inference Acceleration using Prompting
  ☆50Updated last year
• UbiquitousLearning / Paper-list-resource-efficient-large-language-model
  ☆101Updated last year
• fmfi-compbio / admm-pruning
  ☆30Updated last year
• NiuChaoyue / Secure-Federated-Submodel-Learning
  ☆15Updated 4 years ago
• falcon-xu / early-exit-papers
  A curated list of early exiting (LLM, CV, NLP, etc)
  ☆67Updated last year
• YuhanLiu11 / AutoFreeze
  ☆22Updated 4 years ago
• mlpen / LookupFFN
  ☆20Updated last year
• VITA-Group / Q-Hitter
  ☆15Updated last year
• casys-kaist / EnvPipe
  ☆25Updated 2 years ago
• dywsjtu / apparate
  Artifact for "Apparate: Rethinking Early Exits to Tame Latency-Throughput Tensions in ML Serving" [SOSP '24]
  ☆25Updated 11 months ago
• S-Lab-System-Group / Hydro
  Surrogate-based Hyperparameter Tuning System
  ☆27Updated 2 years ago