59 citations · 149 across the 16 of their papers we have counts for
20 papers
FedPA-LoRA: Product-Aligned Framework for Mitigating Aggregation and Initialization Errors in Heterogeneous Federated LoRA
Juseok Jeon, Ramy E. Ali, Doyun Kwon +3
Low-Rank Adaptation (LoRA) enables efficient federated fine-tuning of large language models, but its factorized parameterization creates a tension between accurate aggregation of l…
LightTune: Lightweight Forward-Only Online Fine-Tuning with Applications to Link Adaptation
Ramy E. Ali, Federico Penna
Deploying machine learning (ML) algorithms on mobile phones is bottlenecked by performance degradation under dynamic, real-world conditions that differ from the offline training co…
All Rivers Run to the Sea: Private Learning with Asymmetric Flows
Yue Niu, Ramy E. Ali, Saurav Prakash +1
Data privacy is of great concern in cloud machine-learning service platforms, when sensitive data are exposed to service providers. While private computing environments (e.g., secu…
Comments on CausalEC: A Causally Consistent Data Storage Algorithm Based on Cross-Object Erasure Coding
Ramy E. Ali
Cadambe and Lyu 2021 presents an erasure coding based algorithm called CausalEC that ensures causal consistency based on cross-object erasure coding. This note shows that the algor…
Secure Aggregation for Buffered Asynchronous Federated Learning
Jinhyun So, Ramy E. Ali, Başak Güler +1
Federated learning (FL) typically relies on synchronous training, which is slow due to stragglers. While asynchronous training handles stragglers efficiently, it does not ensure pr…
3LegRace: Privacy-Preserving DNN Training over TEEs and GPUs
Yue Niu, Ramy E. Ali, Salman Avestimehr
Leveraging parallel hardware (e.g. GPUs) for deep neural network (DNN) training brings high computing performance. However, it raises data privacy concerns as GPUs lack a trusted e…
ApproxIFER: A Model-Agnostic Approach to Resilient and Robust Prediction Serving Systems
Mahdi Soleymani, Ramy E. Ali, Hessam Mahdavifar +1
Due to the surge of cloud-assisted AI services, the problem of designing resilient prediction serving systems that can effectively cope with stragglers/failures and minimize respon…
LightSecAgg: a Lightweight and Versatile Design for Secure Aggregation in Federated Learning
Jinhyun So, Chaoyang He, Chien-Sheng Yang +5
Secure model aggregation is a key component of federated learning (FL) that aims at protecting the privacy of each user's individual model while allowing for their global aggregati…
Adaptive Verifiable Coded Computing: Towards Fast, Secure and Private Distributed Machine Learning
Tingting Tang, Ramy E. Ali, Hanieh Hashemi +3
Stragglers, Byzantine workers, and data privacy are the main bottlenecks in distributed cloud computing. Some prior works proposed coded computing strategies to jointly address all…
Securing Secure Aggregation: Mitigating Multi-Round Privacy Leakage in Federated Learning
Jinhyun So, Ramy E. Ali, Basak Guler +2
Secure aggregation is a critical component in federated learning (FL), which enables the server to learn the aggregate model of the users without observing their local models. Conv…
List-Decodable Coded Computing: Breaking the Adversarial Toleration Barrier
Mahdi Soleymani, Ramy E. Ali, Hessam Mahdavifar +1
We consider the problem of coded computing, where a computational task is performed in a distributed fashion in the presence of adversarial workers. We propose techniques to break…
On Polynomial Approximations for Privacy-Preserving and Verifiable ReLU Networks
Ramy E. Ali, Jinhyun So, A. Salman Avestimehr
Outsourcing deep neural networks (DNNs) inference tasks to an untrusted cloud raises data privacy and integrity concerns. While there are many techniques to ensure privacy and inte…
Consistency Analysis of Replication-Based Probabilistic Key-Value Stores
Ramy E. Ali
Partial quorum systems are widely used in distributed key-value stores due to their latency benefits at the expense of providing weaker consistency guarantees. The probabilisticall…
Info-Commit: Information-Theoretic Polynomial Commitment
Saeid Sahraei, Salman Avestimehr, Ramy E. Ali
We introduce Info-Commit, an information-theoretic protocol for polynomial commitment and verification. With the help of a trusted initializer, a succinct commitment to a private p…
Hierarchical Deep Double Q-Routing
Ramy E. Ali, Bilgehan Erman, Ejder Baştuğ +1
This paper explores a deep reinforcement learning approach applied to the packet routing problem with high-dimensional constraints instigated by dynamic and autonomous communicatio…
Harnessing Correlations in Distributed Erasure Coded Key-Value Stores
Ramy E. Ali, Viveck Cadambe
Motivated by applications of distributed storage systems to cloud-based key-value stores, the multi-version coding problem has been recently formulated to efficiently store frequen…
Fundamental Limits of Erasure-Coded Key-Value Stores with Side Information
Ramy E. Ali, Viveck Cadambe, Jaime Llorca +1
In applications of distributed storage systems to modern key-value stores, the stored data is highly dynamic due to frequent updates. The multi-version coding problem was formulate…
Harnessing Correlations in Distributed Erasure-Coded Key-Value Stores
Ramy E. Ali, Viveck R. Cadambe
Motivated by applications of distributed storage systems to key-value stores, the multi-version coding problem was formulated to efficiently store frequently updated data in asynch…
A Probabilistic MAC for Cognitive Radio Systems with Energy Harvesting Nodes
Ramy E. Ali, Fadel F. Digham, Karim G. Seddik +3
In this paper, we consider a cognitive radio (CR) system where the secondary user (SU) harvests energy from both the nature resources and the primary user (PU) radio frequency(RF)…
A Pricing-Based Cooperative Spectrum Sharing Stackelberg Game
Ramy E. Ali, Karim G. Seddik, Mohammed Nafie +1
We consider the problem of cooperative spectrum sharing among a primary user (PU) and multiple secondary users (SUs) under quality of service (QoS) constraints. The SUs network is…