conftrace
_
Papers
Trends
Conferences
Explore
More
Authors
Topics
Keywords
Insights
Papers
Trends
Conferences
Explore
Authors
Topics
Keywords
Insights
Achievements
Home
›
Keywords
›
communication overhead
communication overhead
21 papers
Explore in graph
Co-occurring keywords
federated learning
(1333)
distributed training
(188)
communication efficiency
(297)
neural network optimization
(1293)
distributed learning
(563)
model compression
(3302)
gradient sparsification
(16)
large language model
(13587)
pipeline parallelism
(21)
agent communication
(17)
Papers
GMFL: Efficient Global Masking for Federated LLM Fine-tuning
ACL 2026
DICE: Staleness-Centric Optimizations for Parallel Diffusion MoE Inference
ICCV 2025
Efficient Communication in Multi-Agent Reinforcement Learning with Implicit Consensus Generation
AAAI 2025
FedCross: Intertemporal Federated Learning Under Evolutionary Games
AAAI 2025
AnyMAC: Cascading Flexible Multi-Agent Collaboration via Next-Agent Prediction
EMNLP 2025
Sketching for Distributed Deep Learning: A Sharper Analysis
NIPS 2024
Feature Norm Regularized Federated Learning: Utilizing Data Disparities for Model Performance Gains
IJCAI 2024
Knowledge Transfer via Compact Model in Federated Learning (Student Abstract)
AAAI 2024
DIMAT: Decentralized Iterative Merging-And-Training for Deep Learning Models
CVPR 2024
Communication-Efficient Collaborative Regret Minimization in Multi-Armed Bandits
AAAI 2024
JointSQ: Joint Sparsification-Quantization for Distributed Learning
CVPR 2024
Accelerating Neural Recommendation Training with Embedding Scheduling
NSDI 2024
FedID: Federated Interactive Distillation for Large-Scale Pretraining Language Models
EMNLP 2023
Complement Sparsification: Low-Overhead Model Pruning for Federated Learning
AAAI 2023
Globally Consistent Federated Graph Autoencoder for Non-IID Graphs
IJCAI 2023
FedPETuning: When Federated Learning Meets the Parameter-Efficient Tuning Methods of Pre-trained Language Models
ACL 2023
FedDWA: Personalized Federated Learning with Dynamic Weight Adjustment
IJCAI 2023
DRAGONN: Distributed Randomized Approximate Gradients of Neural Networks
ICML 2022
P3: Distributed Deep Graph Learning at Scale
OSDI 2021
Learning Individually Inferred Communication for Multi-Agent Cooperation
NIPS 2020
ATOMO: Communication-efficient Learning via Atomic Sparsification
NIPS 2018
<
1
>