Image de couverture de livre

Mixed-Precision Federated Learning via Multi-Precision Over-The-Air Aggregation

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Yuan, Jinsheng, Wei, Zhuangkun, Guo, Weisi
Format:	Preprint
Publié:	2024
Sujets:	Machine Learning Artificial Intelligence
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

RAG-based User Profiling for Precision Planning in Mixed-precision Over-the-Air Federated Learning
par: Yuan, Jinsheng, et autres
Publié: (2025)

Remote Rowhammer Attack using Adversarial Observations on Federated Learning Clients
par: Yuan, Jinsheng, et autres
Publié: (2025)

Over-the-Air Federated Learning via Weighted Aggregation
par: Azimi-Abarghouyi, Seyed Mohammad, et autres
Publié: (2024)

Over-the-Air Fair Federated Learning via Multi-Objective Optimization
par: Hamidi, Shayan Mohajer, et autres
Publié: (2025)

Random Aggregate Beamforming for Over-the-Air Federated Learning in Large-Scale Networks
par: Xu, Chunmei, et autres
Publié: (2024)

Digital Over-the-Air Federated Learning in Multi-Antenna Systems
par: Wang, Sihua, et autres
Publié: (2023)

APreQEL: Adaptive Mixed Precision Quantization For Edge LLMs
par: Bouzouad, Meriem, et autres
Publié: (2026)

STaMP: Sequence Transformation and Mixed Precision for Low-Precision Activation Quantization
par: Federici, Marco, et autres
Publié: (2025)

Scalable Hierarchical Over-the-Air Federated Learning
par: Azimi-Abarghouyi, Seyed Mohammad, et autres
Publié: (2022)

Diagonal-Tiled Mixed-Precision Attention for Efficient Low-Bit MXFP Inference
par: Ding, Yifu, et autres
Publié: (2026)

A Metric Driven Approach to Mixed Precision Training
par: Rasquinha, Mitchelle, et autres
Publié: (2024)

Mixed-Precision Quantization for Language Models: Techniques and Prospects
par: Rakka, Mariam, et autres
Publié: (2025)

MoR: Mixture Of Representations For Mixed-Precision Training
par: Su, Bor-Yiing, et autres
Publié: (2025)

Over-the-Air Federated Learning in Cell-Free MIMO with Long-term Power Constraint
par: Wang, Yifan, et autres
Publié: (2024)

MicroMix: Efficient Mixed-Precision Quantization with Microscaling Formats for Large Language Models
par: Liu, Wenyuan, et autres
Publié: (2025)

Robust Federated Learning Over the Air: Combating Heavy-Tailed Noise with Median Anchored Clipping
par: Li, Jiaxing, et autres
Publié: (2024)

MUXQ: Mixed-to-Uniform Precision MatriX Quantization via Low-Rank Outlier Decomposition
par: Lee, Seoungsub, et autres
Publié: (2026)

Hierarchical Over-the-Air Federated Learning with Awareness of Interference and Data Heterogeneity
par: Azimi-Abarghouyi, Seyed Mohammad, et autres
Publié: (2024)

MP-ISMoE: Mixed-Precision Interactive Side Mixture-of-Experts for Efficient Transfer Learning
par: Zhang, Yutong, et autres
Publié: (2026)

On-Chip Hardware-Aware Quantization for Mixed Precision Neural Networks
par: Huang, Wei, et autres
Publié: (2023)

MixKVQ: Query-Aware Mixed-Precision KV Cache Quantization for Long-Context Reasoning
par: Zhang, Tao, et autres
Publié: (2025)

Minimize Control Inputs for Strong Structural Controllability Using Reinforcement Learning with Graph Neural Network
par: Zou, Mengbang, et autres
Publié: (2024)

FedHL: Federated Learning for Heterogeneous Low-Rank Adaptation via Unbiased Aggregation
par: Peng, Zihao, et autres
Publié: (2025)

No Token Left Behind: Reliable KV Cache Compression via Importance-Aware Mixed Precision Quantization
par: Yang, June Yong, et autres
Publié: (2024)

Advancing IIoT with Over-the-Air Federated Learning: The Role of Iterative Magnitude Pruning
par: Khan, Fazal Muhammad Ali, et autres
Publié: (2024)

Compute-Update Federated Learning: A Lattice Coding Approach Over-the-Air
par: Azimi-Abarghouyi, Seyed Mohammad, et autres
Publié: (2024)

Over-the-Air Federated Learning: Rethinking Edge AI Through Signal Processing
par: Azimi-Abarghouyi, Seyed Mohammad, et autres
Publié: (2025)

PAHQ: Accelerating Automated Circuit Discovery through Mixed-Precision Inference Optimization
par: Wang, Xinhai, et autres
Publié: (2025)

RAMP: Reinforcement Adaptive Mixed Precision Quantization for Efficient On Device LLM Inference
par: Gautam, Arpit Singh, et autres
Publié: (2026)

Balancing Fidelity and Plasticity: Aligning Mixed-Precision Fine-Tuning with Linguistic Hierarchies
par: Zhou, Changhai, et autres
Publié: (2025)

ScaleBITS: Scalable Bitwidth Search for Hardware-Aligned Mixed-Precision LLMs
par: Li, Xinlin, et autres
Publié: (2026)

GAMMA: Global Bit Allocation for Mixed-Precision Models under Arbitrary Budgets
par: Yao, Zhangyang, et autres
Publié: (2026)

From Power to Precision: Learning Fine-grained Dexterity for Multi-fingered Robotic Hands
par: Ye, Jianglong, et autres
Publié: (2025)

EdgeRazor: A Lightweight Framework for Large Language Models via Mixed-Precision Quantization-Aware Distillation
par: Zhang, Shu-Hao, et autres
Publié: (2026)

Curriculum-Guided Antifragile Reinforcement Learning for Secure UAV Deconfliction under Observation-Space Attacks
par: Panda, Deepak Kumar, et autres
Publié: (2025)

Meta Policy Switching for Secure UAV Deconfliction in Adversarial Airspace
par: Panda, Deepak Kumar, et autres
Publié: (2025)

Generative Adversarial Evasion and Out-of-Distribution Detection for UAV Cyber-Attacks
par: Panda, Deepak Kumar, et autres
Publié: (2025)

High-Precision Geosteering via Reinforcement Learning and Particle Filters
par: Muhammad, Ressi Bonti, et autres
Publié: (2024)

Scale When Needed: Adaptive Neuron-level Mixed Precision Quantization Aware Training
par: Varshney, Ayush K., et autres
Publié: (2026)

FedSA-GCL: A Semi-Asynchronous Federated Graph Learning Framework with Personalized Aggregation and Cluster-Aware Broadcasting
par: Yuan, Zhongzheng, et autres
Publié: (2025)