Augmenting the FedProx Algorithm by Minimizing Convergence
Fuente:
arXiv
Saved in:
| Main Authors: | Sarkar, Anomitra, Vajpayee, Lavanya |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
FedMon: Federated eBPF Monitoring for Distributed Anomaly Detection in Multi-Cluster Cloud Environments
by: Zehra, Sehar, et al.
Published: (2025)
by: Zehra, Sehar, et al.
Published: (2025)
CooperLLM: Cloud-Edge-End Cooperative Federated Fine-tuning for LLMs via ZOO-based Gradient Correction
by: Sun, He, et al.
Published: (2026)
by: Sun, He, et al.
Published: (2026)
Benchmarking Federated Learning for Throughput Prediction in 5G Live Streaming Applications
by: Dutta, Yuvraj, et al.
Published: (2025)
by: Dutta, Yuvraj, et al.
Published: (2025)
AAFLOW: Scalable Patterns for Agentic AI Workflows
by: Sarker, Arup Kumar, et al.
Published: (2026)
by: Sarker, Arup Kumar, et al.
Published: (2026)
Hive: A Multi-Agent Infrastructure for Algorithm- and Task-Level Scaling
by: Luo, Zizhang, et al.
Published: (2026)
by: Luo, Zizhang, et al.
Published: (2026)
Worldwide Federated Training of Language Models
by: Iacob, Alex, et al.
Published: (2024)
by: Iacob, Alex, et al.
Published: (2024)
DAGER: Exact Gradient Inversion for Large Language Models
by: Petrov, Ivo, et al.
Published: (2024)
by: Petrov, Ivo, et al.
Published: (2024)
Parameter-Efficient and Personalized Federated Training of Generative Models at the Edge
by: Khan, Kabir, et al.
Published: (2025)
by: Khan, Kabir, et al.
Published: (2025)
Flash-Fusion: Enabling Expressive, Low-Latency Queries on IoT Sensor Streams with LLMs
by: Patherya, Kausar, et al.
Published: (2025)
by: Patherya, Kausar, et al.
Published: (2025)
Token Arena: A Continuous Benchmark Unifying Energy and Cognition in AI Inference
by: Gao, Yuxuan, et al.
Published: (2026)
by: Gao, Yuxuan, et al.
Published: (2026)
Scalability Optimization in Cloud-Based AI Inference Services: Strategies for Real-Time Load Balancing and Automated Scaling
by: Jin, Yihong, et al.
Published: (2025)
by: Jin, Yihong, et al.
Published: (2025)
Federated Learning for Deforestation Detection: A Distributed Approach with Satellite Imagery
by: Dutta, Yuvraj, et al.
Published: (2025)
by: Dutta, Yuvraj, et al.
Published: (2025)
Chronicals: A High-Performance Framework for LLM Fine-Tuning with 3.51x Speedup over Unsloth
by: Nair, Arjun S.
Published: (2026)
by: Nair, Arjun S.
Published: (2026)
Prima.cpp: Fast 30-70B LLM Inference on Heterogeneous and Low-Resource Home Clusters
by: Li, Zonghang, et al.
Published: (2025)
by: Li, Zonghang, et al.
Published: (2025)
MeanCache: User-Centric Semantic Caching for LLM Web Services
by: Gill, Waris, et al.
Published: (2024)
by: Gill, Waris, et al.
Published: (2024)
ConfigSpec: Profiling-Based Configuration Selection for Distributed Edge--Cloud Speculative LLM Serving
by: Li, Xiangchen, et al.
Published: (2026)
by: Li, Xiangchen, et al.
Published: (2026)
WISP: Waste- and Interference-Suppressed Distributed Speculative LLM Serving at the Edge via Dynamic Drafting and SLO-Aware Batching
by: Li, Xiangchen, et al.
Published: (2026)
by: Li, Xiangchen, et al.
Published: (2026)
Nanoscaling Floating-Point (NxFP): NanoMantissa, Adaptive Microexponents, and Code Recycling for Direct-Cast Compression of Large Language Models
by: Lo, Yun-Chen, et al.
Published: (2024)
by: Lo, Yun-Chen, et al.
Published: (2024)
GraphBit: A Graph-based Agentic Framework for Non-Linear Agent Orchestration
by: Sarker, Yeahia, et al.
Published: (2026)
by: Sarker, Yeahia, et al.
Published: (2026)
Towards Message Brokers for Generative AI: Survey, Challenges, and Opportunities
by: Saleh, Alaa, et al.
Published: (2023)
by: Saleh, Alaa, et al.
Published: (2023)
AIvailable: A Software-Defined Architecture for LLM-as-a-Service on Heterogeneous and Legacy GPUs
by: Antunes, Pedro, et al.
Published: (2025)
by: Antunes, Pedro, et al.
Published: (2025)
Towards Building Private LLMs: Exploring Multi-Node Expert Parallelism on Apple Silicon for Mixture-of-Experts Large Language Model
by: Chen, Mu-Chi, et al.
Published: (2025)
by: Chen, Mu-Chi, et al.
Published: (2025)
Evaluating the efficacy of LLM Safety Solutions : The Palit Benchmark Dataset
by: Palit, Sayon, et al.
Published: (2025)
by: Palit, Sayon, et al.
Published: (2025)
DSDE: Dynamic Speculative Decoding with KLD Stability for Real-World Serving
by: Yang, Mingyu, et al.
Published: (2025)
by: Yang, Mingyu, et al.
Published: (2025)
Comparative Analysis of Large Language Model Inference Serving Systems: A Performance Study of vLLM and HuggingFace TGI
by: Kolluru, Saicharan
Published: (2025)
by: Kolluru, Saicharan
Published: (2025)
POD-Attention: Unlocking Full Prefill-Decode Overlap for Faster LLM Inference
by: Kamath, Aditya K, et al.
Published: (2024)
by: Kamath, Aditya K, et al.
Published: (2024)
Evaluating Large Language Models for Workload Mapping and Scheduling in Heterogeneous HPC Systems
by: Sharma, Aasish Kumar, et al.
Published: (2025)
by: Sharma, Aasish Kumar, et al.
Published: (2025)
Random Heterogeneous Neurochaos Learning Architecture for Data Classification
by: S, Remya Ajai A, et al.
Published: (2024)
by: S, Remya Ajai A, et al.
Published: (2024)
The Hidden Attention of Mamba Models
by: Ali, Ameen, et al.
Published: (2024)
by: Ali, Ameen, et al.
Published: (2024)
A Survey on Parallel Text Generation: From Parallel Decoding to Diffusion Language Models
by: Zhang, Lingzhe, et al.
Published: (2025)
by: Zhang, Lingzhe, et al.
Published: (2025)
Agentic Compilation: Mitigating the LLM Rerun Crisis for Minimized-Inference-Cost Web Automation
by: Chundru, Jagadeesh
Published: (2026)
by: Chundru, Jagadeesh
Published: (2026)
EnergyMamba: An Uncertainty-Aware Graph-Enhanced Selective State Space Model for Energy Consumption Prediction
by: Yu, Dahai, et al.
Published: (2026)
by: Yu, Dahai, et al.
Published: (2026)
Evaluating Model Robustness Using Adaptive Sparse L0 Regularization
by: Liu, Weiyou, et al.
Published: (2024)
by: Liu, Weiyou, et al.
Published: (2024)
Continual Learning, Not Training: Online Adaptation For Agents
by: Jaglan, Aman, et al.
Published: (2025)
by: Jaglan, Aman, et al.
Published: (2025)
Predictable Scale: Part I, Step Law -- Optimal Hyperparameter Scaling Law in Large Language Model Pretraining
by: Li, Houyi, et al.
Published: (2025)
by: Li, Houyi, et al.
Published: (2025)
Uncovering Bias Paths with LLM-guided Causal Discovery: An Active Learning and Dynamic Scoring Approach
by: Zanna, Khadija, et al.
Published: (2025)
by: Zanna, Khadija, et al.
Published: (2025)
Distribution Consistency based Self-Training for Graph Neural Networks with Sparse Labels
by: Wang, Fali, et al.
Published: (2024)
by: Wang, Fali, et al.
Published: (2024)
Architecture-Aware LLM Inference Optimization on AMD Instinct GPUs: A Comprehensive Benchmark and Deployment Study
by: Georgiou, Athos
Published: (2026)
by: Georgiou, Athos
Published: (2026)
Network and Systems Performance Characterization of MCP-Enabled LLM Agents
by: Ding, Zihao, et al.
Published: (2025)
by: Ding, Zihao, et al.
Published: (2025)
Kant: An Efficient Unified Scheduling System for Large-Scale AI Clusters
by: Zeng, Lingling, et al.
Published: (2025)
by: Zeng, Lingling, et al.
Published: (2025)
Similar Items
-
FedMon: Federated eBPF Monitoring for Distributed Anomaly Detection in Multi-Cluster Cloud Environments
by: Zehra, Sehar, et al.
Published: (2025) -
CooperLLM: Cloud-Edge-End Cooperative Federated Fine-tuning for LLMs via ZOO-based Gradient Correction
by: Sun, He, et al.
Published: (2026) -
Benchmarking Federated Learning for Throughput Prediction in 5G Live Streaming Applications
by: Dutta, Yuvraj, et al.
Published: (2025) -
AAFLOW: Scalable Patterns for Agentic AI Workflows
by: Sarker, Arup Kumar, et al.
Published: (2026) -
Hive: A Multi-Agent Infrastructure for Algorithm- and Task-Level Scaling
by: Luo, Zizhang, et al.
Published: (2026)