Copertina

Single-Round Scalable Analytic Federated Learning

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Bacellar, Alan T. L., Munir, Mustafa, França, Felipe M. G., Lima, Priscila M. V., Marculescu, Radu, John, Lizy K.
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Machine Learning Artificial Intelligence
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

nanoML for Human Activity Recognition
di: Bacellar, Alan T. L., et al.
Pubblicazione: (2025)

Mitigating Intra- and Inter-modal Forgetting in Continual Learning of Unified Multimodal Models
di: Wei, Xiwen, et al.
Pubblicazione: (2025)

From Arithmetic to Logic: The Resilience of Logic and Lookup-Based Neural Networks Under Parameter Bit-Flips
di: Bacellar, Alan T. L., et al.
Pubblicazione: (2026)

Differentiable Weightless Neural Networks
di: Bacellar, Alan T. L., et al.
Pubblicazione: (2024)

Ada-VE: Training-Free Consistent Video Editing Using Adaptive Motion Prior
di: Mahmud, Tanvir, et al.
Pubblicazione: (2024)

VCMamba: Bridging Convolutions with Multi-Directional Mamba for Efficient Visual Representation
di: Munir, Mustafa, et al.
Pubblicazione: (2025)

Multi-Scale High-Resolution Logarithmic Grapher Module for Efficient Vision GNNs
di: Munir, Mustafa, et al.
Pubblicazione: (2025)

RapidNet: Multi-Level Dilated Convolution Based Mobile Backbone
di: Munir, Mustafa, et al.
Pubblicazione: (2024)

AdaptViG: Adaptive Vision GNN with Exponential Decay Gating
di: Munir, Mustafa, et al.
Pubblicazione: (2025)

GreedyViG: Dynamic Axial Graph Construction for Efficient Vision GNNs
di: Munir, Mustafa, et al.
Pubblicazione: (2024)

CrediRAG: Network-Augmented Credibility-Based Retrieval for Misinformation Detection in Reddit
di: Ram, Ashwin, et al.
Pubblicazione: (2024)

PipeFlow: Pipelined Processing and Motion-Aware Frame Selection for Long-Form Video Editing
di: Munir, Mustafa, et al.
Pubblicazione: (2025)

AttentionViG: Cross-Attention-Based Dynamic Neighbor Aggregation in Vision GNNs
di: Gedik, Hakan Emre, et al.
Pubblicazione: (2025)

Scaling Graph Convolutions for Mobile Vision
di: Avery, William, et al.
Pubblicazione: (2024)

Skip2-LoRA: A Lightweight On-device DNN Fine-tuning Method for Low-cost Edge Devices
di: Matsutani, Hiroki, et al.
Pubblicazione: (2024)

EMCAD: Efficient Multi-scale Convolutional Attention Decoding for Medical Image Segmentation
di: Rahman, Md Mostafijur, et al.
Pubblicazione: (2024)

ObjectAlign: Neuro-Symbolic Object Consistency Verification and Correction
di: Munir, Mustafa, et al.
Pubblicazione: (2025)

Fluent: Round-efficient Secure Aggregation for Private Federated Learning
di: Li, Xincheng, et al.
Pubblicazione: (2024)

Fuel Gauge: Estimating Chain-of-Thought Length Ahead of Time in Large Multimodal Models
di: Yang, Yuedong, et al.
Pubblicazione: (2026)

Simulating Rumor Spreading in Social Networks using LLM Agents
di: Hu, Tianrui, et al.
Pubblicazione: (2025)

Geo-OLM: Enabling Sustainable Earth Observation Studies with Cost-Efficient Open Language Models & State-Driven Workflows
di: Stamoulis, Dimitrios, et al.
Pubblicazione: (2025)

Synthetic Data Aided Federated Learning Using Foundation Models
di: Abacha, Fatima, et al.
Pubblicazione: (2024)

On the Volatility of Shapley-Based Contribution Metrics in Federated Learning
di: Geimer, Arno, et al.
Pubblicazione: (2024)

Cluster-Aware Multi-Round Update for Wireless Federated Learning in Heterogeneous Environments
di: Sun, Pengcheng, et al.
Pubblicazione: (2025)

Trust and Resilience in Federated Learning Through Smart Contracts Enabled Decentralized Systems
di: Cassano, Lorenzo, et al.
Pubblicazione: (2024)

SCAN-Edge: Finding MobileNet-speed Hybrid Networks for Diverse Edge Devices via Hardware-Aware Evolutionary Search
di: Chiang, Hung-Yueh, et al.
Pubblicazione: (2024)

Q-Sched: Pushing the Boundaries of Few-Step Diffusion Models with Quantization-Aware Scheduling
di: Frumkin, Natalia, et al.
Pubblicazione: (2025)

OpenSep: Leveraging Large Language Models with Textual Inversion for Open World Audio Separation
di: Mahmud, Tanvir, et al.
Pubblicazione: (2024)

CoAst: Validation-Free Contribution Assessment for Federated Learning based on Cross-Round Valuation
di: Wu, Hao, et al.
Pubblicazione: (2024)

DeepAFL: Deep Analytic Federated Learning
di: Tang, Jianheng, et al.
Pubblicazione: (2026)

Fast and Scalable Analytical Diffusion
di: Shang, Xinyi, et al.
Pubblicazione: (2026)

LLM-Assisted Visual Analytics: Opportunities and Challenges
di: Hutchinson, Maeve, et al.
Pubblicazione: (2024)

Defending the Edge: Representative-Attention Defense against Backdoor Attacks in Federated Learning
di: Obioma, Chibueze Peace, et al.
Pubblicazione: (2025)

Information as Structural Alignment: A Dynamical Theory of Continual Learning
di: Negulescu, Radu
Pubblicazione: (2026)

Complexity-Driven CNN Compression for Resource-constrained Edge AI
di: Zawish, Muhammad, et al.
Pubblicazione: (2022)

Negative Feedback System as Optimizer for Machine Learning Systems
di: Hasan, Md Munir, et al.
Pubblicazione: (2021)

Scalable Hierarchical Over-the-Air Federated Learning
di: Azimi-Abarghouyi, Seyed Mohammad, et al.
Pubblicazione: (2022)

Real-Time Mobile Video Analytics for Pre-arrival Emergency Medical Services
di: Jin, Liuyi, et al.
Pubblicazione: (2025)

APFL: Analytic Personalized Federated Learning via Dual-Stream Least Squares
di: Fan, Kejia, et al.
Pubblicazione: (2025)

Quamba2: A Robust and Scalable Post-training Quantization Framework for Selective State Space Models
di: Chiang, Hung-Yueh, et al.
Pubblicazione: (2025)