Cover Image

MMiC: Mitigating Modality Incompleteness in Clustered Federated Learning

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Yang, Lishan, Zhang, Wei Emma, Sheng, Quan Z., Yao, Lina, Chen, Weitong, Shakeri, Ali
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Artificial Intelligence I.2.11; I.2.7
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

FediLoRA: Practical Federated Fine-Tuning of Foundation Models Under Missing-Modality Constraints
by: Yang, Lishan, et al.
Published: (2025)

PARNESS: A Paper Harness for End-to-End Automated Scientific Research with Dynamic Workflows, Full-Text Indexing, and Cross-Run Knowledge Accumulation
by: Wang, Yuchen, et al.
Published: (2026)

Applying Cognitive Design Patterns to General LLM Agents
by: Wray, Robert E., et al.
Published: (2025)

Good to Go: The LOOP Skill Engine That Hits 99% Success and Slashes Token Usage by 99% via One-Shot Recording and Deterministic Replay
by: Wang, Xiaohua, et al.
Published: (2026)

ScrapMem: A Bio-inspired Framework for On-device Personalized Agent Memory via Optical Forgetting
by: Chang, Jiale, et al.
Published: (2026)

Post Hoc Extraction of Pareto Fronts for Continuous Control
by: Thakar, Raghav, et al.
Published: (2026)

Do We Always Need Query-Level Workflows? Rethinking Agentic Workflow Generation for Multi-Agent Systems
by: Wang, Zixu, et al.
Published: (2026)

MEMTIER: Tiered Memory Architecture and Retrieval Bottleneck Analysis for Long-Running Autonomous AI Agents
by: Sidik, Bronislav, et al.
Published: (2026)

Beyond Rating: A Comprehensive Evaluation and Benchmark for AI Reviews
by: Li, Bowen, et al.
Published: (2026)

Agent Capsules: Quality-Gated Granularity Control for Multi-Agent LLM Pipelines
by: Ray, Aninda
Published: (2026)

PRIMA: Operational Patterns for Resilient Multi-Agent Research with Verifiable Identity and Convergent Feedback
by: Annapureddy, Sasank
Published: (2026)

Instruction-Level Weight Shaping: A Framework for Self-Improving AI Agents
by: Costa, Rimom
Published: (2025)

Multi-Paradigm Agent Interaction in Practice:A Systematic Analysis of Generator-Evaluator, ReAct Loop,and Adversarial Evaluation in the buddyMe Framework
by: Wang, Xiaohua, et al.
Published: (2026)

Latent Cache Flow: Model-to-Model Communication Without Text
by: Rossi, Maximillian, et al.
Published: (2026)

CRAwDAD: Causal Reasoning Augmentation with Dual-Agent Debate
by: Vamosi, Finn G., et al.
Published: (2025)

CPEMH: An Agentic Framework for Prompt-Driven Behavior Evaluation and Assurance in Foundation-Model Systems for Mental Health Screening
by: Lorenzoni, Giuliano, et al.
Published: (2026)

GSAR: Typed Grounding for Hallucination Detection and Recovery in Multi-Agent LLMs
by: Kamelhar, Federico A.
Published: (2026)

Generative AI Toolkit -- a framework for increasing the quality of LLM-based applications over their whole life cycle
by: Kohl, Jens, et al.
Published: (2024)

Eliciting Problem Specifications via Large Language Models
by: Wray, Robert E., et al.
Published: (2024)

Automated MCQA Benchmarking at Scale: Evaluating Reasoning Traces as Retrieval Sources for Domain Adaptation of Small Language Models
by: Gokdemir, Ozan, et al.
Published: (2025)

Agent WARPP: Workflow Adherence via Runtime Parallel Personalization
by: Mazzolenis, Maria Emilia, et al.
Published: (2025)

Exploring Design of Multi-Agent LLM Dialogues for Research Ideation
by: Ueda, Keisuke, et al.
Published: (2025)

A Scalable Communication Protocol for Networks of Large Language Models
by: Marro, Samuele, et al.
Published: (2024)

Contrastive Learning-Enhanced Large Language Models for Monolith-to-Microservice Decomposition
by: Sellami, Khaled, et al.
Published: (2025)

Advancing Transformer Architecture in Long-Context Large Language Models: A Comprehensive Survey
by: Huang, Yunpeng, et al.
Published: (2023)

RefiningGPT: Specialized language Models for Automated Refinery Unit-level Process Diagram Synthesis
by: Liu, Dongxiao, et al.
Published: (2026)

Complementarity, Augmentation, or Substitutivity? The Impact of Generative Artificial Intelligence on the U.S. Federal Workforce
by: Resh, William G., et al.
Published: (2025)

elsciRL: Integrating Language Solutions into Reinforcement Learning Problem Settings
by: Osborne, Philip, et al.
Published: (2025)

A Simple Architecture for Enterprise Large Language Model Applications based on Role based security and Clearance Levels using Retrieval-Augmented Generation or Mixture of Experts
by: Özgür, Atilla, et al.
Published: (2024)

Council Mode: A Heterogeneous Multi-Agent Consensus Framework for Reducing LLM Hallucination and Bias
by: Wu, Shuai, et al.
Published: (2026)

Fuzzy, Symbolic, and Contextual: Enhancing LLM Instruction via Cognitive Scaffolding
by: Figueiredo, Vanessa
Published: (2025)

Tool-RoCo: An Agent-as-Tool Self-organization Large Language Model Benchmark in Multi-robot Cooperation
by: Zhang, Ke, et al.
Published: (2025)

Umwelt Engineering: Designing the Cognitive Worlds of Linguistic Agents
by: Jehu-Appiah, Rodney
Published: (2026)

Towards Resource-Efficient Multimodal Intelligence: Learned Routing among Specialized Expert Models
by: Saini, Mayank, et al.
Published: (2025)

VIGOR+: Iterative Confounder Generation and Validation via LLM-CEVAE Feedback Loop
by: Zhu, JiaWei, et al.
Published: (2025)

Collaborative LLM Agents for C4 Software Architecture Design Automation
by: Szczepanik, Kamil, et al.
Published: (2025)

An Explainable Collaborative Dialogue System using a Theory of Mind
by: Cohen, Philip R., et al.
Published: (2023)

Alif: Advancing Urdu Large Language Models via Multilingual Synthetic Data Distillation
by: Shafique, Muhammad Ali, et al.
Published: (2025)

Compiled AI: Deterministic Code Generation for LLM-Based Workflow Automation
by: Trooskens, Geert, et al.
Published: (2026)

ART: Adaptive Response Tuning Framework -- A Multi-Agent Tournament-Based Approach to LLM Response Optimization
by: Khan, Omer Jauhar
Published: (2025)