ICLR 2025 Past Other
ICLR 2025 Workshop on Modularity for Collaborative, Decentralized, and Continual Deep Learning
MCDC @ ICLR 2025
- Submission deadline
- Feb 13, 2025, 11:59 UTC imported from OpenReview — check the website for extensions
- Submission portal
- OpenReview
- Notes
- Auto-imported from the OpenReview venue record on 2026-06-10 — please verify and enrich (topics are keyword-guessed).
Accepted papers (35)
Fetched from OpenReview (v2) on 2026-06-10.
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A Framework for Double-Blind Federated Adaptation of Foundation Models
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Adaptive Local Training in Federated Learning
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An Empirical Study of Policy Interpolation via Diffusion Models
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Beyond Top-K: Structured Sparsification for Compression in Pipeline Parallel
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BICEC: Attachable Classification-Based Intelligent Control for Sustainable Computer Vision Systems
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CAMEx: Curvature-aware Merging of Experts
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Collective Model Intelligence Requires Compatible Specialization
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ComfyGen: Prompt-Adaptive Workflows for Text-to-Image Generation
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Conditioning on Local Statistics for Scalable Heterogeneous Federated Learning (Tiny Paper)
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Disentangling Sequence Memorization and General Capability in Large Language Models
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Efficient Distributed Optimization under Heavy-Tailed Noise
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Exact Unlearning of Finetuning Data via Model Merging at Scale
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Exploring Asynchronism in SWARM Parallelism
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Exploring Sparse Adapters for Scalable Merging of Parameter Efficient Experts
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Federated Circuits: A Unified Framework for Scalable and Efficient Federated Learning
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FedMoDN: Federated Modular Decision Support Networks
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HDEE: Heterogeneous Domain Expert Ensemble
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Hierarchical Subspaces of Policies for Continual Offline Reinforcement Learning
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How to Merge Multimodal Models Over Time?
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Improving the Efficiency of Distributed Training using Sparse Parameter Averaging
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Mastering Massive Multi-Task Reinforcement Learning via Mixture-of-Expert Decision Transformer
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Mixture-of-Transformers: A Sparse and Scalable Architecture for Multi-Modal Foundation Models
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MoLEx: Mixture of Layer Experts for Finetuning with Sparse Upcycling
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Momentum Look-Ahead for Asynchronous Distributed Low-Communication Training
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Multi-Agent Verification: Scaling Test-Time Compute with Multiple Verifiers (Abridged)
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NoEsis: A Modular LLM with Differentially Private Knowledge Transfer
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On-Device Collaborative Language Modeling via a Mixture of Generalists and Specialists
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ReMod: Learning Structured Sparsity with ReLU Modulation
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Rethinking Decentralized Learning: Towards More Realistic Evaluations with a Metadata-Agnostic Approach
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Revisiting Sparse Mixture of Experts for Resource-adaptive Federated Fine-tuning Foundation Models
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ROBUST ONLINE INFERENCE USING ADAPTIVE MODEL SWITCHING
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Soup-of-Experts: Pretraining Specialist Models via Parameters Averaging
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Tight Clusters Make Specialized Experts
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Training Plug n' Play Knowledge Modules with Deep Context Distillation
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Truncate without Fear: Module Aggregation and Redistribution in Federated Low-Rank Adaptation