Aditya Akella

Identifiers

• name variant Aditya Akella 0.60 · backfill

Papers (47)

1. When Do Graph Foundation Models Transfer? A Data-Centric Theory cs.LG · 2026 · author #6
2. Your Agents Are Aging Too: Agent Lifespan Engineering for Deployed Systems cs.AI · 2026 · author #7
3. CUCo: An Agentic Framework for Compute and Communication Co-design cs.DC · 2026 · author #4
4. Vulcan: Instance-specialized, Verifiable Systems Heuristics Through LLM-driven Search cs.OS · 2025 · author #6
5. Improving the Throughput of Diffusion-based Large Language Models via a Training-Free Confidence-Aware Calibration cs.LG · 2025 · author #6
6. Comparative Analysis of Time Series Foundation Models for Demographic Forecasting: Enhancing Predictive Accuracy in US Population Dynamics cs.LG · 2025 · author #1
7. On-the-Fly Adaptive Distillation of Transformer to Dual-State Linear Attention cs.LG · 2025 · author #5
8. HALoS: Hierarchical Asynchronous Local SGD over Slow Networks for Geo-Distributed Large Language Model Training cs.LG · 2025 · author #8
9. Harmonia: End-to-End RAG Serving Optimization cs.DC · 2025 · author #6
10. Speculative Ad-hoc Querying cs.DB · 2025 · author #4
11. ConfigBot: Adaptive Resource Allocation for Robot Applications in Dynamic Environments cs.RO · 2025 · author #3
12. OMEGA: A Low-Latency GNN Serving System for Large Graphs cs.DC · 2025 · author #8
13. SYMPHONY: Improving Memory Management for LLM Inference Workloads cs.DC · 2024 · author #3
14. TrainMover: An Interruption-Resilient Runtime for ML Training cs.DC · 2024 · author #12
15. Do Data Center Network Metrics Predict Application-Facing Performance? cs.NI · 2024 · author #5
16. Read-ME: Refactorizing LLMs as Router-Decoupled Mixture of Experts with System Co-Design cs.CL · 2024 · author #6
17. CONGO: Compressive Online Gradient Optimization cs.LG · 2024 · author #6
18. EdgeSight: Enabling Modeless and Cost-Efficient Inference at the Edge eess.SY · 2024 · author #4
19. BlockLLM: Multi-tenant Finer-grained Serving for Large Language Models cs.DC · 2024 · author #8
20. FFN-SkipLLM: A Hidden Gem for Autoregressive Decoding with Adaptive Feed Forward Skipping cs.CL · 2024 · author #7
21. Accelerating Distributed Deep Learning using Lossless Homomorphic Compression cs.DC · 2024 · author #7
22. On a Foundation Model for Operating Systems cs.OS · 2023 · author #9
23. MOSEL: Inference Serving Using Dynamic Modality Selection cs.LG · 2023 · author #5
24. ChainedFilter: Combining Membership Filters by Chain Rule cs.DB · 2023 · author #8
25. Dirigo: Self-scaling Stateful Actors For Serverless Real-time Data Processing cs.DC · 2023 · author #4
26. SFC: Near-Source Congestion Signaling and Flow Control cs.NI · 2023 · author #8
27. A Performance Verification Methodology for Resource Allocation Heuristics cs.LO · 2023 · author #6
28. Auxo: Efficient Federated Learning via Scalable Client Clustering cs.LG · 2022 · author #4
29. Shockwave: Fair and Efficient Cluster Scheduling for Dynamic Adaptation in Machine Learning cs.DC · 2022 · author #5
30. Impact of RoCE Congestion Control Policies on Distributed Training of DNNs cs.NI · 2022 · author #5
31. Multi-agent Databases via Independent Learning cs.DB · 2022 · author #4
32. Elastic Model Aggregation with Parameter Service cs.DC · 2022 · author #4
33. Doing More by Doing Less: How Structured Partial Backpropagation Improves Deep Learning Clusters cs.DC · 2021 · author #4
34. Accelerating Deep Learning Inference via Learned Caches cs.LG · 2021 · author #6
35. PL2: Towards Predictable Low Latency in Rack-Scale Networks cs.NI · 2021 · author #6
36. Accelerating Deep Learning Inference via Freezing cs.LG · 2020 · author #4
37. D2R: Dataplane-Only Policy-Compliant Routing Under Failures cs.NI · 2019 · author #4
38. Archipelago: A Scalable Low-Latency Serverless Platform cs.DC · 2019 · author #6
39. SNF: Serverless Network Functions cs.DC · 2019 · author #3
40. Themis: Fair and Efficient GPU Cluster Scheduling cs.DC · 2019 · author #5
41. Network-accelerated Distributed Machine Learning Using MLFabric cs.DC · 2019 · author #2
42. Tiramisu: Fast and General Network Verification cs.NI · 2019 · author #3
43. Whiz: A Fast and Flexible Data Analytics System cs.DC · 2017 · author #4
44. Correctness and Performance for Stateful Chained Network Functions cs.NI · 2016 · author #2
45. Do the Hard Stuff First: Scheduling Dependent Computations in Data-Analytics Clusters cs.DC · 2016 · author #4
46. Active Switching: Packet Steering Flow Annotations cs.NI · 2014 · author #2
47. Stratos: A Network-Aware Orchestration Layer for Virtual Middleboxes in Clouds cs.NI · 2013 · author #9

Mentions

• 2508.11680 #1 · arxiv_oai · confidence 0.70 Aditya Akella
• 2506.09316 #5 · arxiv_oai · confidence 0.70 Aditya Akella
• 2506.04531 #8 · arxiv_oai · confidence 0.70 Aditya Akella
• 2407.06325 #6 · arxiv_oai · confidence 0.70 Aditya Akella
• 2501.10513 #3 · arxiv_oai · confidence 0.70 Aditya Akella
• 2503.00714 #4 · arxiv_oai · confidence 0.70 Aditya Akella
• 2501.08547 #8 · arxiv_oai · confidence 0.70 Aditya Akella
• 2405.19213 #4 · arxiv_oai · confidence 0.70 Aditya Akella
• 2412.16434 #3 · arxiv_oai · confidence 0.70 Aditya Akella
• 2411.06004 #5 · arxiv_oai · confidence 0.70 Aditya Akella
• 2410.19123 #6 · arxiv_oai · confidence 0.70 Aditya Akella
• 2404.18322 #8 · arxiv_oai · confidence 0.70 Aditya Akella
• 2404.03865 #7 · arxiv_oai · confidence 0.70 Aditya Akella
• 2301.04205 #6 · arxiv_oai · confidence 0.70 Aditya Akella
• 2402.07529 #7 · arxiv_oai · confidence 0.70 Aditya Akella
• 2312.07813 #9 · arxiv_oai · confidence 0.70 Aditya Akella
• 2310.18481 #5 · arxiv_oai · confidence 0.70 Aditya Akella
• 2210.16656 #4 · arxiv_oai · confidence 0.70 Aditya Akella
• 2308.13632 #8 · arxiv_oai · confidence 0.70 Aditya Akella
• 2308.03615 #4 · arxiv_oai · confidence 0.70 Aditya Akella
• 2305.00538 #8 · arxiv_oai · confidence 0.70 Aditya Akella
• 2210.00093 #5 · arxiv_oai · confidence 0.70 Aditya Akella
• 2205.14323 #4 · arxiv_oai · confidence 0.70 Aditya Akella
• 2207.10898 #5 · arxiv_oai · confidence 0.70 Aditya Akella
• 2204.03211 #4 · arxiv_oai · confidence 0.70 Aditya Akella
• 2111.10672 #4 · arxiv_oai · confidence 0.70 Aditya Akella
• 2101.06537 #6 · arxiv_oai · confidence 0.70 Aditya Akella
• 2101.07344 #6 · arxiv_oai · confidence 0.70 Aditya Akella
• 2002.02645 #4 · arxiv_oai · confidence 0.70 Aditya Akella
• 1912.02402 #4 · arxiv_oai · confidence 0.70 Aditya Akella
• 1911.09849 #6 · arxiv_oai · confidence 0.70 Aditya Akella
• 1907.01484 #5 · arxiv_oai · confidence 0.70 Aditya Akella
• 1910.07700 #3 · arxiv_oai · confidence 0.70 Aditya Akella
• 1907.00434 #2 · arxiv_oai · confidence 0.70 Aditya Akella
• 1703.10272 #4 · arxiv_oai · confidence 0.70 Aditya Akella
• 1906.02043 #3 · arxiv_oai · confidence 0.70 Aditya Akella
• 1612.01497 #2 · arxiv_oai · confidence 0.70 Aditya Akella
• 1403.7115 #2 · arxiv_oai · confidence 0.70 Aditya Akella
• 1305.0209 #9 · arxiv_oai · confidence 0.70 Aditya Akella
• 2512.25065 #6 · arxiv_oai · confidence 0.70 Aditya Akella
• 2505.07833 #6 · arxiv_oai · confidence 0.70 Aditya Akella
• 2603.02376 #4 · arxiv_oai · confidence 0.70 Aditya Akella
• 1604.07371 #4 · arxiv_oai · confidence 0.70 Aditya Akella
• 1403.7115 #2 · backfill · confidence 0.70 Aditya Akella
• 2605.29828 #6 · arxiv_oai · confidence 0.70 Aditya Akella
• 2605.26302 #7 · arxiv_oai · confidence 0.70 Aditya Akella
• 1305.0209 #9 · backfill · confidence 0.70 Aditya Akella
• 2412.12636 #12 · arxiv_oai · confidence 0.70 Aditya Akella

Frequent Coauthors

• Shivaram Venkataraman 7 shared papers
• Zhangyang Wang 6 shared papers
• Arjun Singhvi 5 shared papers
• Bodun Hu 5 shared papers
• Daehyeok Kim 5 shared papers
• Yeonju Ro 5 shared papers
• Arjun Balasubramanian 4 shared papers
• Divyanshu Saxena 4 shared papers
• Geon-Woo Kim 4 shared papers
• Rohit Dwivedula 4 shared papers
• Adarsh Kumar 3 shared papers
• Haoyu Li 3 shared papers
• Jiayi Chen 3 shared papers
• Le Xu 3 shared papers
• Robert Grandl 3 shared papers
• Saurabh Agarwal 3 shared papers
• Tarannum Khan 3 shared papers
• Anubhavnidhi Abhashkumar 2 shared papers
• ChonLam Lao 2 shared papers
• Donghyun Kim 2 shared papers