ICML 2025PastAgentsFederated learning
ICML 2025 Workshop on Collaborative and Federated Agentic Workflows
CFAgentic @ ICML'25
- Submission deadline
- May 28, 2025, 11:59 UTCimported from OpenReview — check the website for extensions
- Submission portal
- OpenReview
- Notes
- Topics were auto-suggested and may be imprecise — edits welcome.
Accepted papers (31)
Fetched from OpenReview (v2) on 2026-06-10.
Advancing Agentic AI: Decentralized and Verifiable Collaboration for Next-Generation Foundation Model Development
AGENT KB: A Hierarchical Memory Framework for Cross-Domain Agentic Problem Solving
Bidding for Influence: Auction-Driven Diffusion Image Generation
CAF-I: A Collaborative Multi-Agent Framework for Enhanced Irony Detection with Large Language Models
Can One Safety Loop Guard Them All? \\ Agentic Guard Rails for Federated Computing
CoEM: Collaborative Editable Model
Collective Bias Mitigation via Model Routing and Collaboration
DBA-DFL: Towards Distributed Backdoor Attacks with Network Detection in Decentralized Federated Learning
DebFlow: Automating Agent Creation via Agent Debate
DP-AdamW: Investigating Decoupled Weight Decay and Bias Correction in Private Deep Learning
EconEvals: Benchmarks and Litmus Tests for LLM Agents in Unknown Environments
Federated Forgetting in Agentic Workflows: GDPR Compliance Experiments with Synthetic User Logs
Federated Submodular Maximization: Improved Communication Rounds and Bit Complexity
FEDTAIL: Federated Long-Tailed Domain Generalization with Sharpness-Guided Gradient Matching
Fluid Democracy in Federated Data Aggregation
Generalizing Trust: Weak-to-Strong Trustworthiness in Language Models
Interpretable Multi-Agent Communication via Information Gating
Leveraging Uncertainty Estimation for Efficient LLM Routing
LLMSELECTOR: Learning to Select Models in Compound AI Systems
LoRA-FL: A Low-Rank Adversarial Attack for Compromising Group Fairness in Federated Learning
MAD-Sherlock: Multi-Agent Debate for Visual Misinformation Detection
Mitigating Unintended Memorization with LoRA in Federated Learning for LLMs
MobileA3gent: Training Mobile GUI Agents Using Decentralized Self-Sourced Data from Diverse Users
Multiple Automated Finance Integration Agents (MAFIA) With Self-Healing
Parrot: An Agentic Classroom AI
Position: Agentic Federated Learning for AI-Driven Strategy Design and Optimization
Privacy-Enhancing Paradigms within Federated Multi-Agent Systems
Private Federated Learning with Provable Convergence via Smoothed Normalization
Spatio-Temporal Gradient Matching for Federated Continual Learning
Vision: How to fully unleash the productivity of Agentic AI? Decentralized Agent Swarm Network
Who Should Be Consulted? Targeted Expert Selection for Rare Disease Diagnosis