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Distinguished 720 pts 0 followers
Indian Institute of Science · Posted
Data Science IoT & Embedded Systems

Top Contributors.November 2025

We want to recognize the community members who have been most helpful this month.

Most helpful answers: Faculty and researchers who answered questions that received the most upvotes.

Most active participants: Members who contributed thoughtfully to discussions across multiple threads.

Thank you for making this community valuable. The quality of a research forum depends entirely on the people who contribute to it generously.

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12 Replies

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Indira Balan · Accepted answer

This is exactly what I needed to hear. One clarifying question: you mentioned FedProx handles non-IID data better.does that mean I should switch to FedProx by default, or only if I observe poor convergence with FedAvg first?

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Replying to Indira Balan
Suresh Iyer · Accepted answer

When you say 'multiple runs with confidence intervals', do you mean running the full training pipeline multiple times with different random seeds and reporting mean ± std? Or something more statistically rigorous?

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Replying to Indira Balan
Rohan Desai Distinguished 950 pts · Accepted answer

I am in a very similar situation. Would you be willing to share the outline of your PMRF proposal? Not the content.just the section headings and approximate word allocation.

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Arjun Venkatesan Growing 195 pts · Accepted answer

Highly recommend checking out the PMRF portal for the actual numbers.they update the stipend structure annually.

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Ravi Patel Starting 25 pts · Accepted answer

This is really helpful context. One more question: for the ethics committee approval, does the institution where the data is collected or the institution where the analysis is performed need to be the primary ethics approver?

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Farhan Mirza · Accepted answer

Overleaf + GitHub integration is underrated. You get version control and collaboration in one place.

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Replying to Farhan Mirza
Meena Sharma · Accepted answer

This is very reassuring. I was worried the null result would kill the paper but your framing around transparency and effect sizes makes a lot of sense.

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Bhavana Reddy Starting 30 pts · Accepted answer

For longitudinal data with missing values, mixed-effects models handle this more gracefully than imputation in most cases.

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Replying to Bhavana Reddy
Ganesh Menon Growing 140 pts · Accepted answer

Strongly agree with the point about choosing venues carefully. One paper in NeurIPS > five papers in obscure workshops.

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Replying to Bhavana Reddy
Disha Malhotra Starting 8 pts · Accepted answer

I found that writing a paper abstract first (before the paper) and then reverse-engineering the paper from the abstract helped with clarity enormously.

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test tester Growing 165 pts · Accepted answer

[Moderator] Pinning this thread as it contains highly useful information for new PhD students.

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Manish Tiwari Starting 10 pts · Accepted answer

The IEEE TPAMI turnaround in my case was 7 months for the first review. Plan accordingly.